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16:27, 1 July 2018 1074356 Fig2.png (file) 63 KB Omoreira Fig. 2 In: Baldi et al., 1999 1
14:02, 1 July 2018 BRNN Mike Paliwal 1997 Fig3.png (file) 210 KB Omoreira Fig 3. In: Mike Schuster, and Kuldip K. Paliwal. (1997). “[https://ai.intel.com/wp-content/uploads/sites/53/2017/06/BRNN.pdf Bidirectional Recurrent Neural Networks].” In: IEEE Transactions on Signal Processing Journal, 45(11).... 1
23:45, 24 June 2018 Smith-Miles Tan Fig2.png (file) 83 KB Omoreira   2
19:36, 24 June 2018 deductive vs inductive.png (file) 87 KB Omoreira In: http://www.personal.kent.edu/~rmuhamma/Algorithms/MyAlgorithms/DeductInduct.htm Retrieved:2018-6-24. 1
19:04, 24 June 2018 Klauer Tab Inductive Reasoning Tasks.png (file) 32 KB Omoreira Table 1 In: Haverty, L. A., Koedinger, K. R., Klahr, D., & Alibali, M. W. (2000). [https://onlinelibrary.wiley.com/doi/pdf/10.1207/s15516709cog2402_3 "Solving inductive reasoning problems in mathematics: Not-so-trivial pursuit"]. Cognitive Science, 24(... 1
23:10, 17 June 2018 LSTM-arXiv1603.01354.png (file) 97 KB Omoreira Figure 2: Schematic of LSTM unit. In: Xuezhe Ma,& Eduard Hovy (2016). [https://arxiv.org/pdf/1603.01354.pdf "End-to-end sequence labeling via bi-directional lstm-cnns-crf"]. arXiv preprint [https://arxiv.org/abs/1603.01354 arXiv:1603.01... 1
22:44, 17 June 2018 N16-1030 fig1.png (file) 49 KB Omoreira Figure 1: Main architecture of the network. Word embeddings are given to a bidirectional LSTM. <math>l_i</math> represents the word <i>i</i> and its left context, <math>r_i</math> represents the word <i>i</i> and its right context. [[Concat... 1
22:33, 17 June 2018 BLSTM-CRF-arXiv-160301354.png (file) 41 KB Omoreira Figure 3: The main architecture of our neural network. The character representation for each word is computed by the CNN in Figure 1. Then the character representation vector is concatenated with the [[word emb... 1
22:31, 17 June 2018 CNN-arXiv-160301354.png (file) 28 KB Omoreira Figure 1: The convolution neural network for extracting character-level representations of words. Dashed arrows indicate a dropout layer applied before character embeddings are input to CNN. In: (Ma & Hovy, 2016) ⇒ [[Xuez... 1
23:04, 10 June 2018 1707.06799 Tab12.png (file) 55 KB Omoreira Tab 12 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. 1
23:03, 10 June 2018 1707.06799 Fig7.png (file) 87 KB Omoreira Figure 7 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. 1
22:49, 10 June 2018 1707.06799 Fig1.png (file) 66 KB Omoreira Figure 1 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. 1
17:55, 10 June 2018 pes.png (file) 68 KB Omoreira Table 1.2: Features of Retrospective and Prospective Methods. In: (GAO, 1990) ⇒ US General Accounting Office. (1990). [https://www.gao.gov/special.pubs/10_1_10.PDF "Prospective Evaluation Methods: The prospective evaluation synthe 1
22:46, 3 June 2018 LSTM-Cell.png (file) 32 KB Omoreira Figure 2: A Long Short-Term Memory Cell. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"] 1
22:16, 3 June 2018 BI-LSTM.png (file) 33 KB Omoreira Figure 4: A bidirectional LSTM network. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"]. arXiv preprint [https://arxiv.org/abs/1508.01991 arXiv:1508.01991] 1
22:06, 3 June 2018 LSTM.png (file) 37 KB Omoreira Figure 3: A LSTM network. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"]. arXiv preprint [https://arxiv.org/abs/1508.01991 arXiv:1508.01991]. 1
22:05, 3 June 2018 LSTM-CRF.png (file) 28 KB Omoreira Figure 6: A LSTM-CRF model. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"]. arXiv preprint [https://arxiv.org/abs/1508.01991 arXiv:1508.01991]. 1
22:01, 3 June 2018 CRF.png (file) 21 KB Omoreira Figure 5: A CRF network. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"] 1
21:39, 3 June 2018 BI-LSTM-CRF.png (file) 36 KB Omoreira Figure 7: A BI-LSTM-CRF model. In: Zhiheng Huang, Wei Xu, Kai Yu (2015). [https://arxiv.org/pdf/1508.01991.pdf "Bidirectional LSTM-CRF models for sequence tagging (PDF)"]. arXiv preprint [https://arxiv.org/abs/1508.01991 arXiv:1508.01991]. 1
18:01, 3 June 2018 aiNetfig4.png (file) 41 KB Omoreira Figure 4:<i> aiNet illustration. (a) Available data set with three clusters of high data density. (b) Network of labeled cells with their connection strengths assigned to the links. The dashed lines indicate [[connec... 1
16:35, 3 June 2018 CT2002fig618.png (file) 9 KB Omoreira Fig.6.18: Multidirectional Interaction among AIS, ANN, EA In: de Castro LN, Timmis J (2002) "Artificial immune systems: a new computational intelligence approach" (BOOK). Springer, New York. pp. 233 1
16:29, 3 June 2018 CT2002-Tab.png (file) 132 KB Omoreira Tab In: de Castro LN, Timmis J (2002) [https://goo.gl/mZ3vbn "Artificial immune systems: a new computational intelligence approach" (BOOK)]. Springer, New York. pp. 233 1
15:49, 3 June 2018 AISApps.png (file) 49 KB Omoreira Tab.1: Application Areas of AIS. In: Emma Hart, Jon Timmis. (2008). [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.146.516&rep=rep1&type=pdf "Application areas of AIS: the past, present and the future" (PDF)]. J Appl Soft Comput 8(1):191–2... 1
14:32, 17 May 2018 2018 NeuralFactorGraphModelsforCross Figure1.jpg (file) 182 KB Gmelli from (Malaviya et al., 2018) ⇒ :Chaitanya Malaviya, :Matthew R. Gormley, and :Graham Neubig. (:2018). “[https://arxiv.org/pdf/1805.04570 Neural Factor Graph Models for Cross-lingua... 1
20:45, 8 May 2018 OpenImagesV4Hierarchy.180501.png (file) 749 KB Gmelli from here https://storage.googleapis.com/openimages/web/factsfigures.html 1
16:15, 22 April 2018 Weise fig1 1.png (file) 82 KB Omoreira   1
22:13, 18 March 2018 3NN cs231n.png (file) 44 KB Omoreira 3-Layer NN python code example http://cs231n.github.io/neural-networks-1/#feedforward 1
20:11, 11 March 2018 MLP TanH.png (file) 97 KB Omoreira   1
20:11, 11 March 2018 MLP Logistic.png (file) 101 KB Omoreira   1
20:10, 11 March 2018 MLP ReLU.png (file) 96 KB Omoreira   1
11:22, 18 February 2018 Agostinelli et al 2014 Fig1.png (file) 56 KB Omoreira Agostinelli, F., Hoffman, M., Sadowski, P., & Baldi, P. (2014). [https://arxiv.org/pdf/1412.6830.pdf "Learning activation functions to improve deep neural networks"]. arXiv preprint [https://arxiv.org/abs/1412.6830 arXiv:1412.6830]. 1
08:36, 18 February 2018 softsign.png (file) 24 KB Omoreira (Bergstra et al., 2009) ⇒ Bergstra, J., Desjardins, G., Lamblin, P., & Bengio, Y. (2009). "Quadratic polynomials learn better image features (Technical Report 1337)". Département d’Informatique et de Recherche Opérationnelle, Université de Montr... 1
23:35, 28 January 2018 Adaline system.png (file) 66 KB Omoreira (Raschka, 2015) ⇒ Raschka, S. (2015). "Chapter 2: Training Machine Learning Algorithms for Classification". In:"Python Machine Learning: Unlock Deeper Insights Into Machine Learning with this Vital Guide to Cutting-edge Predictive Analytics". Communi... 1
23:09, 28 January 2018 Raschka Perceptron.png (file) 70 KB Omoreira Raschka, S. (2015). "Chapter 2: Training Machine Learning Algorithms for Classification". In:"Python Machine Learning: Unlock Deeper Insights Into Machine Learning with this Vital Guide to Cutting-edge Predictive Analytics". Community experience distil... 1
12:40, 28 January 2018 zhao 02016 NN2.png (file) 40 KB Omoreira from r code sample in http://www.parallelr.com/r-deep-neural-network-from-scratch/ 1
23:36, 14 January 2018 1nn pythoncode.png (file) 30 KB Omoreira   1
22:49, 14 January 2018 single layerNN.png (file) 43 KB Omoreira   2
17:40, 14 January 2018 artificial-neuron-model.png (file) 31 KB Omoreira   2
15:17, 14 January 2018 SigmoidNeuron Ruozzi2016.png (file) 11 KB Omoreira   1
07:45, 7 January 2018 2NNw.png (file) 60 KB Omoreira   4
15:57, 31 December 2017 FullyconnectedNNlayers.png (file) 50 KB Omoreira   2
15:49, 31 December 2017 PCNN.png (file) 39 KB Omoreira   1
15:41, 31 December 2017 2layersFCNN.png (file) 43 KB Omoreira   1
15:35, 31 December 2017 3layersFCNN.png (file) 81 KB Omoreira   1
10:00, 31 December 2017 nonconnectedNNlayer.png (file) 18 KB Omoreira   1
07:43, 31 December 2017 PartiallyconnectedNNlayers.png (file) 48 KB Omoreira   1
11:59, 30 December 2017 FullyConnectNetwork6.png (file) 26 KB Omoreira   1
11:58, 30 December 2017 FullyConnectNetwork3.png (file) 5 KB Omoreira   1
11:55, 30 December 2017 FullyConnectNetwork8.png (file) 43 KB Omoreira   1
15:18, 17 December 2017 FeedFowardNet.png (file) 124 KB Omoreira Copyright: Munro P. (2017) "Backpropagation". In: Sammut C., Webb G.I. (eds) "Encyclopedia of Machine Learning and Data Mining". Springer, Boston, MA 1
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