2011 EncyclopediaOfMachineLearning UnauthoredTerms

From GM-RKB
Jump to navigation Jump to search


ID Term Page Type Redirect Author(s) mult alp Synonym Cross References GM-RKB Entry
3 Accuracy 9 N Confusion Matrix ; Resubstitution Accuracy (Sammut & Webb, 2011) ⇒ . (2011). “Accuracy.” In: (Sammut & Webb, 2011)
5 Actions 10 N (Sammut & Webb, 2011) ⇒ . (2011). “Actions.” In: (Sammut & Webb, 2011)
8 AdaBoost 19 N (Sammut & Webb, 2011) ⇒ . (2011). “AdaBoost.” In: (Sammut & Webb, 2011)
13 Agent 36 N (Sammut & Webb, 2011) ⇒ . (2011). “Agent.” In: (Sammut & Webb, 2011)
16 Agent-Based Simulation Models 36 N (Sammut & Webb, 2011) ⇒ . (2011). “Agent-Based Simulation Models.” In: (Sammut & Webb, 2011)
23 Anytime Algorithm 40 N (Sammut & Webb, 2011) ⇒ . (2011). “Anytime Algorithm.” In: (Sammut & Webb, 2011)
28 Area Under Curve 41 N AUC (Sammut & Webb, 2011) ⇒ . (2011). “Area Under Curve.” In: (Sammut & Webb, 2011)
34 Artificial Life 45 N (Sammut & Webb, 2011) ⇒ . (2011). “Artificial Life.” In: (Sammut & Webb, 2011)
35 Artificial Neural Networks 45 N Adaptive Resonance Theory ; Backpropagation ; Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependency Plasticity ; Boltzmann Machines ; Cascade Correlation ; Competitive Learning ; Deep Belief Networks ; Evolving Neural Networks ; Hypothesis Language ; Neural Network Topology ; Neuroevolution ; Radial Basis Function Networks ; Reservoir Computing ; Self-Organizing Maps ; Simple Recurrent Networks ; Weights (Sammut & Webb, 2011) ⇒ . (2011). “Artificial Neural Networks.” In: (Sammut & Webb, 2011)
37 Assertion 49 N (Sammut & Webb, 2011) ⇒ . (2011). “Assertion.” In: (Sammut & Webb, 2011)
43 Attribute -Value Learning 54 N (Sammut & Webb, 2011) ⇒ . (2011). “Attribute -Value Learning.” In: (Sammut & Webb, 2011)
54 Bagging 73 N (Sammut & Webb, 2011) ⇒ . (2011). “Bagging.” In: (Sammut & Webb, 2011)
55 Bake-Off 73 N Algorithm Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “Bake-Off.” In: (Sammut & Webb, 2011)
60 Batch Learning 74 N Offline Learning (Sammut & Webb, 2011) ⇒ . (2011). “Batch Learning.” In: (Sammut & Webb, 2011)
61 Baum-Welch Algorithm 74 N (Sammut & Webb, 2011) ⇒ . (2011). “Baum-Welch Algorithm.” In: (Sammut & Webb, 2011)
67 Bayesian Network 81 N Bayes Net Graphical Models (Sammut & Webb, 2011) ⇒ . (2011). “Bayesian Network.” In: (Sammut & Webb, 2011)
73 Bellman Equation 97 N (Sammut & Webb, 2011) ⇒ . (2011). “Bellman Equation.” In: (Sammut & Webb, 2011)
74 Bias 97 N (Sammut & Webb, 2011) ⇒ . (2011). “Bias.” In: (Sammut & Webb, 2011)
76 Bias Variance Decomposition 100 N Bias-Variance Trade-offs ; Novel Applications (Sammut & Webb, 2011) ⇒ . (2011). “Bias Variance Decomposition.” In: (Sammut & Webb, 2011)
79 Bias-Variance-Covariance Decomposition 111 N (Sammut & Webb, 2011) ⇒ . (2011). “Bias-Variance-Covariance Decomposition.” In: (Sammut & Webb, 2011)
80 Bilingual Lexicon Extraction 111 N (Sammut & Webb, 2011) ⇒ . (2011). “Bilingual Lexicon Extraction.” In: (Sammut & Webb, 2011)
84 Blog Mining 132 N (Sammut & Webb, 2011) ⇒ . (2011). “Blog Mining.” In: (Sammut & Webb, 2011)
86 Boosting 136 N (Sammut & Webb, 2011) ⇒ . (2011). “Boosting.” In: (Sammut & Webb, 2011)
87 Bootstrap Sampling 137 N (Sammut & Webb, 2011) ⇒ . (2011). “Bootstrap Sampling.” In: (Sammut & Webb, 2011)
88 Bottom Clauses 137 N Saturation ; Starting clause Entailment ; Inductive Logic Programming ; Inverse Entailment ; Logic of Generality (Sammut & Webb, 2011) ⇒ . (2011). “Bottom Clauses.” In: (Sammut & Webb, 2011)
91 Breakeven Point 137 N (Sammut & Webb, 2011) ⇒ . (2011). “Breakeven Point.” In: (Sammut & Webb, 2011)
94 Cannot-Link Constraint 139 N (Sammut & Webb, 2011) ⇒ . (2011). “Cannot-Link Constraint.” In: (Sammut & Webb, 2011)
95 Candidate-Elimination Algorithm 139 N (Sammut & Webb, 2011) ⇒ . (2011). “Candidate-Elimination Algorithm.” In: (Sammut & Webb, 2011)
102 Categorical Attribute 154 N Qualitative attribute (Sammut & Webb, 2011) ⇒ . (2011). “Categorical Attribute.” In: (Sammut & Webb, 2011)
119 Clause 178 N First-Order Logic ; Inductive Logic-Programming ; Learning from Structured Data ; Logic Program ; Prolog (Sammut & Webb, 2011) ⇒ . (2011). “Clause.” In: (Sammut & Webb, 2011)
120 Clause Learning 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Clause Learning.” In: (Sammut & Webb, 2011)
121 Click-Through Rate (CTR) 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Click-Through Rate (CTR).” In: (Sammut & Webb, 2011)
122 Clonal Selection 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Clonal Selection.” In: (Sammut & Webb, 2011)
124 Cluster Editing 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Cluster Editing.” In: (Sammut & Webb, 2011)
125 Cluster Ensembles 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Cluster Ensembles.” In: (Sammut & Webb, 2011)
126 Cluster Optimization 179 N (Sammut & Webb, 2011) ⇒ . (2011). “Cluster Optimization.” In: (Sammut & Webb, 2011)
127 Clustering 180 N Categorical Data Clustering ; Cluster Editing ; Cluster Ensembles ; Clustering from Data Streams ; Constrained Clustering ; Consensus Clustering ; correlation Clustering ; Cross-Language Document Clustering ; Density-Based Clustering ; Dirichlet Process ; Document Clustering ; Evolutionary Clustering ; Graph Clustering ; k-Means Clustering ; k-Medoids Clustering ; Model-Based Clustering ; Partitional Clustering ; Projective Clustering ; Sublinear Clustering (Sammut & Webb, 2011) ⇒ . (2011). “Clustering.” In: (Sammut & Webb, 2011)
128 Clustering Aggregation 180 N (Sammut & Webb, 2011) ⇒ . (2011). “Clustering Aggregation.” In: (Sammut & Webb, 2011)
129 Clustering Ensembles 180 N (Sammut & Webb, 2011) ⇒ . (2011). “Clustering Ensembles.” In: (Sammut & Webb, 2011)
141 Collaborative Filtering 189 N (Sammut & Webb, 2011) ⇒ . (2011). “Collaborative Filtering.” In: (Sammut & Webb, 2011)
147 Comparable Corpus 194 N (Sammut & Webb, 2011) ⇒ . (2011). “Comparable Corpus.” In: (Sammut & Webb, 2011)
149 Competitive Learning 194 N (Sammut & Webb, 2011) ⇒ . (2011). “Competitive Learning.” In: (Sammut & Webb, 2011)
153 Compositional Coevolution 201 N Cooperative coevolution Coevolutionary Learning (Sammut & Webb, 2011) ⇒ . (2011). “Compositional Coevolution.” In: (Sammut & Webb, 2011)
154 Computational Complexity of Learning 201 N (Sammut & Webb, 2011) ⇒ . (2011). “Computational Complexity of Learning.” In: (Sammut & Webb, 2011)
158 Conditional Random Field 208 N (Sammut & Webb, 2011) ⇒ . (2011). “Conditional Random Field.” In: (Sammut & Webb, 2011)
159 Confirmation Theory 209 N (Sammut & Webb, 2011) ⇒ . (2011). “Confirmation Theory.” In: (Sammut & Webb, 2011)
165 Consensus Clustering 219 N (Sammut & Webb, 2011) ⇒ . (2011). “Consensus Clustering.” In: (Sammut & Webb, 2011)
168 Constructive Induction 225 N (Sammut & Webb, 2011) ⇒ . (2011). “Constructive Induction.” In: (Sammut & Webb, 2011)
170 Content-Based Filtering 226 N Content-based recommending (Sammut & Webb, 2011) ⇒ . (2011). “Content-Based Filtering.” In: (Sammut & Webb, 2011)
175 Continuous Attribute 226 N (Sammut & Webb, 2011) ⇒ . (2011). “Continuous Attribute.” In: (Sammut & Webb, 2011)
176 Contrast Set-Mining 226 N (Sammut & Webb, 2011) ⇒ . (2011). “Contrast Set-Mining.” In: (Sammut & Webb, 2011)
180 Correlation-Based Learning 231 N (Sammut & Webb, 2011) ⇒ . (2011). “Correlation-Based Learning.” In: (Sammut & Webb, 2011)
181 Cost 231 N Loss (Sammut & Webb, 2011) ⇒ . (2011). “Cost.” In: (Sammut & Webb, 2011)
182 Cost Function 231 N Loss Function (Sammut & Webb, 2011) ⇒ . (2011). “Cost Function.” In: (Sammut & Webb, 2011)
183 Cost-Sensitive Classification 231 N Cost-Sensitive Learning (Sammut & Webb, 2011) ⇒ . (2011). “Cost-Sensitive Classification.” In: (Sammut & Webb, 2011)
189 Cross-Language Document Categorization 242 N (Sammut & Webb, 2011) ⇒ . (2011). “Cross-Language Document Categorization.” In: (Sammut & Webb, 2011)
190 Cross-Language Information Retrieval 242 N (Sammut & Webb, 2011) ⇒ . (2011). “Cross-Language Information Retrieval.” In: (Sammut & Webb, 2011)
191 Cross-Language Question Answering 242 N (Sammut & Webb, 2011) ⇒ . (2011). “Cross-Language Question Answering.” In: (Sammut & Webb, 2011)
193 Cross-Validation 249 N Algorithm Evaluation ; Leave-One-Out Cross-Validation (Sammut & Webb, 2011) ⇒ . (2011). “Cross-Validation.” In: (Sammut & Webb, 2011)
200 Data Set 261 N (Sammut & Webb, 2011) ⇒ . (2011). “Data Set.” In: (Sammut & Webb, 2011)
201 DBN 261 N (Sammut & Webb, 2011) ⇒ . (2011). “DBN.” In: (Sammut & Webb, 2011)
202 Decision Epoch 261 N (Sammut & Webb, 2011) ⇒ . (2011). “Decision Epoch.” In: (Sammut & Webb, 2011)
205 Decision Rule 262 N (Sammut & Webb, 2011) ⇒ . (2011). “Decision Rule.” In: (Sammut & Webb, 2011)
206 Decision Stump 262 N Bias and Variance ; Decision Tree ; Overfitting (Sammut & Webb, 2011) ⇒ . (2011). “Decision Stump.” In: (Sammut & Webb, 2011)
207 Decision Threshold 263 N (Sammut & Webb, 2011) ⇒ . (2011). “Decision Threshold.” In: (Sammut & Webb, 2011)
210 Deductive Learning 267 N Analytical learning ; Explanation-based learning (Sammut & Webb, 2011) ⇒ . (2011). “Deductive Learning.” In: (Sammut & Webb, 2011)
217 Detail 274 N (Sammut & Webb, 2011) ⇒ . (2011). “Detail.” In: (Sammut & Webb, 2011)
219 Digraphs 274 N Directed graphs (Sammut & Webb, 2011) ⇒ . (2011). “Digraphs.” In: (Sammut & Webb, 2011)
224 Discrete Attribute 287 N (Sammut & Webb, 2011) ⇒ . (2011). “Discrete Attribute.” In: (Sammut & Webb, 2011)
226 Discriminative Learning 288 N Generative References (Sammut & Webb, 2011) ⇒ . (2011). “Discriminative Learning.” In: (Sammut & Webb, 2011)
233 Divide-and-Conquer Learning 289 N Recursive partitioning ; TDIDT strategy Covering Algorithm ; Decision Tree (Sammut & Webb, 2011) ⇒ . (2011). “Divide-and-Conquer Learning.” In: (Sammut & Webb, 2011)
243 Dynamic Systems 308 N (Sammut & Webb, 2011) ⇒ . (2011). “Dynamic Systems.” In: (Sammut & Webb, 2011)
254 Emerging Patterns 312 N (Sammut & Webb, 2011) ⇒ . (2011). “Emerging Patterns.” In: (Sammut & Webb, 2011)
257 Entailment 320 N Implications ; Logical consequence Inverse Entailment ; Learning from Entailment ; Logic of Generality (Sammut & Webb, 2011) ⇒ . (2011). “Entailment.” In: (Sammut & Webb, 2011)
267 Error Squared 331 N Squared error (Sammut & Webb, 2011) ⇒ . (2011). “Error Squared.” In: (Sammut & Webb, 2011)
269 Evaluation 331 N (Sammut & Webb, 2011) ⇒ . (2011). “Evaluation.” In: (Sammut & Webb, 2011)
274 Evolutionary Algorithms 332 N Evolutionary computation ; Evolutionary computing ; Genetic and evolutionary algorithms Coevolution Learning ; Compositional Coevolution ; Evolutionary Clustering ; Evolutionary Computation in Economics ; Evolutionary Computation in Finance ; Evolutionary Computational Techniques in Marketing ; Evolutionary Feature Selection and Construction ; Evolutionary Fuzzy Systems ; Evolutionary Games ; Evolutionary Kernel Learning ; Evolutionary Robotics ; Neuroevolution ; Nonstandard Criteria in Evolutionary Learning ; Test-Based Coevolution (Sammut & Webb, 2011) ⇒ . (2011). “Evolutionary Algorithms.” In: (Sammut & Webb, 2011)
276 Evolutionary Computation 337 N (Sammut & Webb, 2011) ⇒ . (2011). “Evolutionary Computation.” In: (Sammut & Webb, 2011)
296 Expectation-Maximization Algorithm 387 N EM Algorithm ; Expectation Maximization Algorithm (Sammut & Webb, 2011) ⇒ . (2011). “Expectation-Maximization Algorithm.” In: (Sammut & Webb, 2011)
299 Explanation 388 N (Sammut & Webb, 2011) ⇒ . (2011). “Explanation.” In: (Sammut & Webb, 2011)
304 F1-Measure 397 N (Sammut & Webb, 2011) ⇒ . (2011). “F1-Measure.” In: (Sammut & Webb, 2011)
305 False Negative 397 N (Sammut & Webb, 2011) ⇒ . (2011). “False Negative.” In: (Sammut & Webb, 2011)
319 First-Order Regression Tree 415 N Logical regression tree ; Relational regression tree First-Order Rule ; Inductive Logic Programming ; Relational Reinforcement Learning (Sammut & Webb, 2011) ⇒ . (2011). “First-Order Regression Tree.” In: (Sammut & Webb, 2011)
327 Fuzzy Sets 423 N (Sammut & Webb, 2011) ⇒ . (2011). “Fuzzy Sets.” In: (Sammut & Webb, 2011)
328 Fuzzy Systems 423 N (Sammut & Webb, 2011) ⇒ . (2011). “Fuzzy Systems.” In: (Sammut & Webb, 2011)
340 Generative Learning 455 N Generative and Discriminative Learning (Sammut & Webb, 2011) ⇒ . (2011). “Generative Learning .” In: (Sammut & Webb, 2011)
349 Gibbs Sampling 457 N (Sammut & Webb, 2011) ⇒ . (2011). “Gibbs Sampling.” In: (Sammut & Webb, 2011)
350 Gini Coefficient 457 N (Sammut & Webb, 2011) ⇒ . (2011). “Gini Coefficient.” In: (Sammut & Webb, 2011)
364 Growing Set 492 N Data Set (Sammut & Webb, 2011) ⇒ . (2011). “Growing Set.” In: (Sammut & Webb, 2011)
367 Hebb Rule 493 N (Sammut & Webb, 2011) ⇒ . (2011). “Hebb Rule.” In: (Sammut & Webb, 2011)
368 Hebbian Learning 493 N Biological Learning ; Synaptic Plasticity ; Hebb Rule and Spike Timing Dependent Plasticity (Sammut & Webb, 2011) ⇒ . (2011). “Hebbian Learning.” In: (Sammut & Webb, 2011)
377 Holdout Evaluation 506 N Algorithm Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “Holdout Evaluation.” In: (Sammut & Webb, 2011)
378 Holdout Set 507 N Holdout Data Evaluation Set ; Holdout Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “Holdout Set.” In: (Sammut & Webb, 2011)
388 Immune Network 515 N (Sammut & Webb, 2011) ⇒ . (2011). “Immune Network.” In: (Sammut & Webb, 2011)
395 Indirect Reinforcement Learning 519 N (Sammut & Webb, 2011) ⇒ . (2011). “Indirect Reinforcement Learning.” In: (Sammut & Webb, 2011)
398 Inductive Bias 522 N Learning bias ; Variance hint Induction ; Learning as Search (Sammut & Webb, 2011) ⇒ . (2011). “Inductive Bias.” In: (Sammut & Webb, 2011)
401 Inductive Inference 528 N (Sammut & Webb, 2011) ⇒ . (2011). “Inductive Inference.” In: (Sammut & Webb, 2011)
403 Inductive Learning 529 N Statistical Learning (Sammut & Webb, 2011) ⇒ . (2011). “Inductive Learning.” In: (Sammut & Webb, 2011)
408 Inductive Synthesis 544 N (Sammut & Webb, 2011) ⇒ . (2011). “Inductive Synthesis.” In: (Sammut & Webb, 2011)
411 Information Retrieval 548 N (Sammut & Webb, 2011) ⇒ . (2011). “Information Retrieval.” In: (Sammut & Webb, 2011)
413 In-Sample Evaluation 548 N Within-sample evaluation Algorithm Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “In-Sample Evaluation.” In: (Sammut & Webb, 2011)
414 Instance 549 N Case ; Example ; Item ; Object (Sammut & Webb, 2011) ⇒ . (2011). “Instance.” In: (Sammut & Webb, 2011)
416 Instance Space 549 N Example space ; Item space ; Object space (Sammut & Webb, 2011) ⇒ . (2011). “Instance Space.” In: (Sammut & Webb, 2011)
419 Intelligent Backtracking 553 N Dependency directed backtracking (Sammut & Webb, 2011) ⇒ . (2011). “Intelligent Backtracking.” In: (Sammut & Webb, 2011)
421 Internal Model Control 553 N Certainty equivalence principle ; Model-based control (Sammut & Webb, 2011) ⇒ . (2011). “Internal Model Control.” In: (Sammut & Webb, 2011)
422 Interval Scale 553 N (Sammut & Webb, 2011) ⇒ . (2011). “Interval Scale.” In: (Sammut & Webb, 2011)
423 Inverse Entailment 553 N Bottom Clause ; Entailment ; Inductive Logic Programming ; Logic of Generality (Sammut & Webb, 2011) ⇒ . (2011). “Inverse Entailment.” In: (Sammut & Webb, 2011)
426 Inverse Resolution 558 N First-Order Logic ; Logic of Generality ; Resolution (Sammut & Webb, 2011) ⇒ . (2011). “Inverse Resolution.” In: (Sammut & Webb, 2011)
439 Kernel Matrix 566 N Gram Matrix (Sammut & Webb, 2011) ⇒ . (2011). “Kernel Matrix.” In: (Sammut & Webb, 2011)
449 Label 571 N (Sammut & Webb, 2011) ⇒ . (2011). “Label.” In: (Sammut & Webb, 2011)
450 Labeled Data 571 N (Sammut & Webb, 2011) ⇒ . (2011). “Labeled Data.” In: (Sammut & Webb, 2011)
451 Language Bias 571 N Learning as Search (Sammut & Webb, 2011) ⇒ . (2011). “Language Bias.” In: (Sammut & Webb, 2011)
454 Latent Factor Models and Matrix Factorization 571 N (Sammut & Webb, 2011) ⇒ . (2011). “Latent Factor Models and Matrix Factorization.” In: (Sammut & Webb, 2011)
472 Learning Vector Quantization 594 N LVQ (Sammut & Webb, 2011) ⇒ . (2011). “Learning Vector Quantization.” In: (Sammut & Webb, 2011)
477 Leave-One-Out Error 601 N Hold-one-out error ; LOO error (Sammut & Webb, 2011) ⇒ . (2011). “Leave-One-Out Error.” In: (Sammut & Webb, 2011)
481 Lift 601 N (Sammut & Webb, 2011) ⇒ . (2011). “Lift.” In: (Sammut & Webb, 2011)
485 Linear Separability 606 N Perceptrons ; Support Vector Machines (Sammut & Webb, 2011) ⇒ . (2011). “Linear Separability.” In: (Sammut & Webb, 2011)
491 Local Distance Metric Adaptation 613 N Supersmoothing ; Nonstationary kernels ; Kernel shaping Locally Weighted Regression for Control (Sammut & Webb, 2011) ⇒ . (2011). “Local Distance Metric Adaptation.” In: (Sammut & Webb, 2011)
496 Logic Program 631 N Clause ; First-Order-Logic (Sammut & Webb, 2011) ⇒ . (2011). “Logic Program.” In: (Sammut & Webb, 2011)
499 Logistic Regression 631 N Logit model (Sammut & Webb, 2011) ⇒ . (2011). “Logistic Regression.” In: (Sammut & Webb, 2011)
501 Log Linear Models 632 N (Sammut & Webb, 2011) ⇒ . (2011). “Log Linear Models.” In: (Sammut & Webb, 2011)
502 Long-Term Potentiation of Synapses 632 N (Sammut & Webb, 2011) ⇒ . (2011). “Long-Term Potentiation of Synapses.” In: (Sammut & Webb, 2011)
504 Loopy Belief Propagation 632 N (Sammut & Webb, 2011) ⇒ . (2011). “Loopy Belief Propagation.” In: (Sammut & Webb, 2011)
505 Loss 632 N Cost (Sammut & Webb, 2011) ⇒ . (2011). “Loss.” In: (Sammut & Webb, 2011)
506 Loss Function 632 N Cost Function (Sammut & Webb, 2011) ⇒ . (2011). “Loss Function.” In: (Sammut & Webb, 2011)
514 Margin 639 N Support Vector Machines (Sammut & Webb, 2011) ⇒ . (2011). “Margin.” In: (Sammut & Webb, 2011)
522 Markov Network 646 N Markov net ; Markov random field Graphical Models (Sammut & Webb, 2011) ⇒ . (2011). “Markov Network.” In: (Sammut & Webb, 2011)
523 Markov Process 646 N Markov chain ; Markov model (Sammut & Webb, 2011) ⇒ . (2011). “Markov Process.” In: (Sammut & Webb, 2011)
525 Markovian Decision Rule 647 N Randomized decision rule (Sammut & Webb, 2011) ⇒ . (2011). “Markovian Decision Rule.” In: (Sammut & Webb, 2011)
526 Maxent Models 647 N (Sammut & Webb, 2011) ⇒ . (2011). “Maxent Models.” In: (Sammut & Webb, 2011)
528 McDiarmids' Inequality 651 N Bounded differences inequality (Sammut & Webb, 2011) ⇒ . (2011). “McDiarmids' Inequality.” In: (Sammut & Webb, 2011)
531 Mean Absolute Deviation 652 N Absolute error loss ; Mean absolute deviation ; Mean error Mean Squared Error (Sammut & Webb, 2011) ⇒ . (2011). “Mean Absolute Deviation.” In: (Sammut & Webb, 2011)
534 Mean Squared Error 653 N Quadratic loss ; Squared error loss Mean Absolute Error (Sammut & Webb, 2011) ⇒ . (2011). “Mean Squared Error.” In: (Sammut & Webb, 2011)
541 Message 661 N (Sammut & Webb, 2011) ⇒ . (2011). “Message.” In: (Sammut & Webb, 2011)
542 Meta-Combiner 662 N (Sammut & Webb, 2011) ⇒ . (2011). “Meta-Combiner.” In: (Sammut & Webb, 2011)
545 Minimum Cuts 666 N (Sammut & Webb, 2011) ⇒ . (2011). “Minimum Cuts.” In: (Sammut & Webb, 2011)
557 Model Selection 683 N (Sammut & Webb, 2011) ⇒ . (2011). “Model Selection.” In: (Sammut & Webb, 2011)
566 Most General Hypothesis 693 N Maximally general hypothesis Learning as Search (Sammut & Webb, 2011) ⇒ . (2011). “Most General Hypothesis.” In: (Sammut & Webb, 2011)
568 Most Specific Hypothesis 694 N Maximally specific hypothesis Learning as Search (Sammut & Webb, 2011) ⇒ . (2011). “Most Specific Hypothesis.” In: (Sammut & Webb, 2011)
570 Multi-Agent Learning II: Algorithms 696 N (Sammut & Webb, 2011) ⇒ . (2011). “Multi-Agent Learning II: Algorithms.” In: (Sammut & Webb, 2011)
576 Multi-Objective Optimization 710 N MOO ; Multi-criteria optimization ; Vector optimization (Sammut & Webb, 2011) ⇒ . (2011). “Multi-Objective Optimization.” In: (Sammut & Webb, 2011)
578 Multiple -Instance Learning 711 N (Sammut & Webb, 2011) ⇒ . (2011). “Multiple -Instance Learning.” In: (Sammut & Webb, 2011)
579 Multi-Relational Data Mining 711 N (Sammut & Webb, 2011) ⇒ . (2011). “Multi-Relational Data Mining.” In: (Sammut & Webb, 2011)
580 Multistrategy Ensemble Learning 711 N Ensemble Learning ; Multi-Boosting ; Random Forests (Sammut & Webb, 2011) ⇒ . (2011). “Multistrategy Ensemble Learning.” In: (Sammut & Webb, 2011)
581 Must-Link Constraint 711 N (Sammut & Webb, 2011) ⇒ . (2011). “Must-Link Constraint.” In: (Sammut & Webb, 2011)
588 Negative Correlation Learning 715 N NC-Learning ; NCL (Sammut & Webb, 2011) ⇒ . (2011). “Negative Correlation Learning.” In: (Sammut & Webb, 2011)
589 Negative Predictive Value 715 N (Sammut & Webb, 2011) ⇒ . (2011). “Negative Predictive Value.” In: (Sammut & Webb, 2011)
593 Neural Networks N Radial Basis Function Networks (Sammut & Webb, 2011) ⇒ . (2011). “Neural Networks.” In: (Sammut & Webb, 2011)
599 No-Free-Lunch Theorem 721 N (Sammut & Webb, 2011) ⇒ . (2011). “No-Free-Lunch Theorem.” In: (Sammut & Webb, 2011)
600 Nogood Learning 721 N (Sammut & Webb, 2011) ⇒ . (2011). “Nogood Learning.” In: (Sammut & Webb, 2011)
601 Noise 721 N (Sammut & Webb, 2011) ⇒ . (2011). “Noise.” In: (Sammut & Webb, 2011)
602 Nominal Attribute 722 N (Sammut & Webb, 2011) ⇒ . (2011). “Nominal Attribute.” In: (Sammut & Webb, 2011)
610 NP-Completeness 731 N (Sammut & Webb, 2011) ⇒ . (2011). “NP-Completeness.” In: (Sammut & Webb, 2011)
611 Numeric Attribute 732 N Quantitative attribute (Sammut & Webb, 2011) ⇒ . (2011). “Numeric Attribute.” In: (Sammut & Webb, 2011)
622 Ontology Learning 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Ontology Learning.” In: (Sammut & Webb, 2011)
623 Opinion Mining 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Opinion Mining.” In: (Sammut & Webb, 2011)
624 Optimal Learning 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Optimal Learning.” In: (Sammut & Webb, 2011)
625 OPUS 743 N (Sammut & Webb, 2011) ⇒ . (2011). “OPUS.” In: (Sammut & Webb, 2011)
626 Ordered Rule Set 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Ordered Rule Set.” In: (Sammut & Webb, 2011)
627 Ordinal Attribute 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Ordinal Attribute.” In: (Sammut & Webb, 2011)
628 Out-of-Sample Data 743 N (Sammut & Webb, 2011) ⇒ . (2011). “Out-of-Sample Data.” In: (Sammut & Webb, 2011)
629 Out-of-Sample Evaluation 743 N Algorithm Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “Out-of-Sample Evaluation.” In: (Sammut & Webb, 2011)
635 PAC-MDP Learning 753 N (Sammut & Webb, 2011) ⇒ . (2011). “PAC-MDP Learning.” In: (Sammut & Webb, 2011)
636 Parallel Corpus 754 N (Sammut & Webb, 2011) ⇒ . (2011). “Parallel Corpus.” In: (Sammut & Webb, 2011)
637 Part of Speech Tagging 754 N (Sammut & Webb, 2011) ⇒ . (2011). “Part of Speech Tagging.” In: (Sammut & Webb, 2011)
652 Positive Semidefinite 779 N Positive definite (Sammut & Webb, 2011) ⇒ . (2011). “Positive Semidefinite.” In: (Sammut & Webb, 2011)
655 Post-Pruning 780 N Overfitting ; Pre-Pruning ; Pruning (Sammut & Webb, 2011) ⇒ . (2011). “Post-Pruning.” In: (Sammut & Webb, 2011)
656 Postsynaptic Neuron 780 N (Sammut & Webb, 2011) ⇒ . (2011). “Postsynaptic Neuron.” In: (Sammut & Webb, 2011)
659 Predicate 781 N Clause ; First-Order Logic ; Logic Program (Sammut & Webb, 2011) ⇒ . (2011). “Predicate.” In: (Sammut & Webb, 2011)
661 Predicate Invention 781 N Inductive Logic Programming ; Logic of Generality (Sammut & Webb, 2011) ⇒ . (2011). “Predicate Invention.” In: (Sammut & Webb, 2011)
669 Pre-Pruning 795 N Stopping criteria Overfitting ; Post-Pruning ; Pruning (Sammut & Webb, 2011) ⇒ . (2011). “Pre-Pruning.” In: (Sammut & Webb, 2011)
670 Presynaptic Neuron 795 N (Sammut & Webb, 2011) ⇒ . (2011). “Presynaptic Neuron.” In: (Sammut & Webb, 2011)
671 Principal Component Analysis 795 N PCA (Sammut & Webb, 2011) ⇒ . (2011). “Principal Component Analysis.” In: (Sammut & Webb, 2011)
677 Process-Based Modeling 805 N (Sammut & Webb, 2011) ⇒ . (2011). “Process-Based Modeling.” In: (Sammut & Webb, 2011)
683 Prolog 811 N Clause ; First-Order Logic ; Inductive Logic Programming ; Logic Program (Sammut & Webb, 2011) ⇒ . (2011). “Prolog.” In: (Sammut & Webb, 2011)
685 Propositional Logic 812 N First-Order Logic ; Propositionalization (Sammut & Webb, 2011) ⇒ . (2011). “Propositional Logic.” In: (Sammut & Webb, 2011)
688 Pruning Set 817 N Data Set (Sammut & Webb, 2011) ⇒ . (2011). “Pruning Set.” In: (Sammut & Webb, 2011)
697 Rademacher Complexity 823 N Rademacher average (Sammut & Webb, 2011) ⇒ . (2011). “Rademacher Complexity.” In: (Sammut & Webb, 2011)
702 Random Forests 828 N Random decision forests (Sammut & Webb, 2011) ⇒ . (2011). “Random Forests.” In: (Sammut & Webb, 2011)
703 Random Subspace Method 828 N Random subspaces ; RSM (Sammut & Webb, 2011) ⇒ . (2011). “Random Subspace Method.” In: (Sammut & Webb, 2011)
706 Rank Correlation 828 N Preference Learning ; ROC Analysis (Sammut & Webb, 2011) ⇒ . (2011). “Rank Correlation.” In: (Sammut & Webb, 2011)
707 Ratio Scale 828 N (Sammut & Webb, 2011) ⇒ . (2011). “Ratio Scale.” In: (Sammut & Webb, 2011)
708 Real-Time Dynamic Programming 829 N (Sammut & Webb, 2011) ⇒ . (2011). “Real-Time Dynamic Programming.” In: (Sammut & Webb, 2011)
709 Recall 829 N Sensitivity (Sammut & Webb, 2011) ⇒ . (2011). “Recall.” In: (Sammut & Webb, 2011)
723 Relational 851 N Propositionalization ; Relational Data Mining ; Relational Learning ; Relational Learning (Sammut & Webb, 2011) ⇒ . (2011). “Relational .” In: (Sammut & Webb, 2011)
731 Relevance Feedback 863 N Search Engines ; Applications of ML (Sammut & Webb, 2011) ⇒ . (2011). “Relevance Feedback.” In: (Sammut & Webb, 2011)
735 Resubstitution Estimate 863 N Model Evaluation (Sammut & Webb, 2011) ⇒ . (2011). “Resubstitution Estimate.” In: (Sammut & Webb, 2011)
736 Reward 863 N (Sammut & Webb, 2011) ⇒ . (2011). “Reward.” In: (Sammut & Webb, 2011)
742 ROC Convex Hull 875 N (Sammut & Webb, 2011) ⇒ . (2011). “ROC Convex Hull.” In: (Sammut & Webb, 2011)
743 ROC Curve 875 N (Sammut & Webb, 2011) ⇒ . (2011). “ROC Curve.” In: (Sammut & Webb, 2011)
744 Rotation Forests 875 N (Sammut & Webb, 2011) ⇒ . (2011). “Rotation Forests.” In: (Sammut & Webb, 2011)
749 Samuel's Checkers Player 881 N Machine Learning and Game Playing (Sammut & Webb, 2011) ⇒ . (2011). “Samuel's Checkers Player.” In: (Sammut & Webb, 2011)
760 Sensitivity 901 N Recall ; True positive rate (Sammut & Webb, 2011) ⇒ . (2011). “Sensitivity.” In: (Sammut & Webb, 2011)
763 Sequential Data 902 N Sequence data (Sammut & Webb, 2011) ⇒ . (2011). “Sequential Data.” In: (Sammut & Webb, 2011)
767 Shannon's Information 902 N (Sammut & Webb, 2011) ⇒ . (2011). “Shannon's Information.” In: (Sammut & Webb, 2011)
768 Shattering Coefficient 902 N Growth function (Sammut & Webb, 2011) ⇒ . (2011). “Shattering Coefficient.” In: (Sammut & Webb, 2011)
771 Simple Recurrent Network 906 N Elman network ; Feedforward recurrent network (Sammut & Webb, 2011) ⇒ . (2011). “Simple Recurrent Network.” In: (Sammut & Webb, 2011)
773 Solution Concept 906 N (Sammut & Webb, 2011) ⇒ . (2011). “Solution Concept.” In: (Sammut & Webb, 2011)
778 Specialization 907 N Generalization ; Induction ; Learning as Search ; Subsumption ; Logic of Generality (Sammut & Webb, 2011) ⇒ . (2011). “Specialization.” In: (Sammut & Webb, 2011)
779 Specificity 907 N (Sammut & Webb, 2011) ⇒ . (2011). “Specificity.” In: (Sammut & Webb, 2011)
780 Spectral Clustering 907 N (Sammut & Webb, 2011) ⇒ . (2011). “Spectral Clustering.” In: (Sammut & Webb, 2011)
782 Speedup Learning for Planning 911 N (Sammut & Webb, 2011) ⇒ . (2011). “Speedup Learning for Planning.” In: (Sammut & Webb, 2011)
783 Spike-Timing-Dependent Plasticity 912 N Biological Learning ; Synaptic Plasticity ; Hebb Rule ; Spike Timing Dependent Plasticity (Sammut & Webb, 2011) ⇒ . (2011). “Spike-Timing-Dependent Plasticity.” In: (Sammut & Webb, 2011)
784 Sponsored Search 912 N (Sammut & Webb, 2011) ⇒ . (2011). “Sponsored Search.” In: (Sammut & Webb, 2011)
785 Squared Error 912 N (Sammut & Webb, 2011) ⇒ . (2011). “Squared Error.” In: (Sammut & Webb, 2011)
786 Squared Error Loss 912 N (Sammut & Webb, 2011) ⇒ . (2011). “Squared Error Loss.” In: (Sammut & Webb, 2011)
787 Stacked Generalization 912 N (Sammut & Webb, 2011) ⇒ . (2011). “Stacked Generalization.” In: (Sammut & Webb, 2011)
790 State 912 N (Sammut & Webb, 2011) ⇒ . (2011). “State.” In: (Sammut & Webb, 2011)
796 Stratified Cross Validation 928 N (Sammut & Webb, 2011) ⇒ . (2011). “Stratified Cross Validation.” In: (Sammut & Webb, 2011)
797 Stream Mining 928 N Clustering Data Stream ; Online Learning (Sammut & Webb, 2011) ⇒ . (2011). “Stream Mining.” In: (Sammut & Webb, 2011)
798 String Kernel 929 N (Sammut & Webb, 2011) ⇒ . (2011). “String Kernel.” In: (Sammut & Webb, 2011)
799 String Matching Algorithm 929 N (Sammut & Webb, 2011) ⇒ . (2011). “String Matching Algorithm.” In: (Sammut & Webb, 2011)
805 Subgroup Discovery 933 N (Sammut & Webb, 2011) ⇒ . (2011). “Subgroup Discovery.” In: (Sammut & Webb, 2011)
811 Supervised Learning 941 N Reinforcement Learning ; Unsupervised Learning (Sammut & Webb, 2011) ⇒ . (2011). “Supervised Learning.” In: (Sammut & Webb, 2011)
813 Swarm Intelligence 946 N (Sammut & Webb, 2011) ⇒ . (2011). “Swarm Intelligence.” In: (Sammut & Webb, 2011)
816 Symmetrization Lemma 954 N Basic Lemma (Sammut & Webb, 2011) ⇒ . (2011). “Symmetrization Lemma.” In: (Sammut & Webb, 2011)
822 TD-Gammon 955 N Machine Learning and Game Playing (Sammut & Webb, 2011) ⇒ . (2011). “TD-Gammon.” In: (Sammut & Webb, 2011)
827 Test Data 962 N Evaluation data ; Test instances Test set (Sammut & Webb, 2011) ⇒ . (2011). “Test Data.” In: (Sammut & Webb, 2011)
829 Test Set 962 N Evaluation data ; Evaluation set ; Test data Data Set (Sammut & Webb, 2011) ⇒ . (2011). “Test Set.” In: (Sammut & Webb, 2011)
830 Test Time 962 N (Sammut & Webb, 2011) ⇒ . (2011). “Test Time.” In: (Sammut & Webb, 2011)
831 Test-Based Coevolution 962 N Competitive Coevolution (Sammut & Webb, 2011) ⇒ . (2011). “Test-Based Coevolution.” In: (Sammut & Webb, 2011)
841 TF-IDF 986 N (Sammut & Webb, 2011) ⇒ . (2011). “TF-IDF.” In: (Sammut & Webb, 2011)
849 Training Data 989 N Training examples ; Training instances ; Training set (Sammut & Webb, 2011) ⇒ . (2011). “Training Data.” In: (Sammut & Webb, 2011)
852 Training Set 990 N Training Data Data Set ; Training Data (Sammut & Webb, 2011) ⇒ . (2011). “Training Set.” In: (Sammut & Webb, 2011)
853 Training Time 990 N (Sammut & Webb, 2011) ⇒ . (2011). “Training Time.” In: (Sammut & Webb, 2011)
857 Transition Probabilities 990 N (Sammut & Webb, 2011) ⇒ . (2011). “Transition Probabilities.” In: (Sammut & Webb, 2011)
861 True Negative 999 N (Sammut & Webb, 2011) ⇒ . (2011). “True Negative.” In: (Sammut & Webb, 2011)
863 True Positive 999 N (Sammut & Webb, 2011) ⇒ . (2011). “True Positive.” In: (Sammut & Webb, 2011)
868 Underlying Objective 1001 N (Sammut & Webb, 2011) ⇒ . (2011). “Underlying Objective.” In: (Sammut & Webb, 2011)
873 Unlabeled Data 1008 N (Sammut & Webb, 2011) ⇒ . (2011). “Unlabeled Data.” In: (Sammut & Webb, 2011)
875 Unstable Learner 1008 N (Sammut & Webb, 2011) ⇒ . (2011). “Unstable Learner.” In: (Sammut & Webb, 2011)
876 Unsupervised Learner 1009 N (Sammut & Webb, 2011) ⇒ . (2011). “Unsupervised Learner.” In: (Sammut & Webb, 2011)
887 Viterbi Algorithm 1025 N (Sammut & Webb, 2011) ⇒ . (2011). “Viterbi Algorithm.” In: (Sammut & Webb, 2011)
892 Word Sense Discrimination 1030 N (Sammut & Webb, 2011) ⇒ . (2011). “Word Sense Discrimination.” In: (Sammut & Webb, 2011)
894 Zero-One Loss 1031 N (Sammut & Webb, 2011) ⇒ . (2011). “Zero-One Loss.” In: (Sammut & Webb, 2011)
Retrieved from "http://www.gabormelli.com/RKB/index.php?title=2011_EncyclopediaOfMachineLearning_UnauthoredTerms&oldid=852325"