Model-based Training System
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A Model-based Training System is a training system that applies a model-based training algorithm to solve a model-based training task.
- AKA: Data-Driven Model Generator.
- Context:
- It can range from being a Supervised Model-based Learning System to being an Unsupervised Model-based Learning System.
- It can range from being a Supervised Model-based Classification System to being a Supervised Model-based Ranking System to being a Supervised Model-based Estimation System.
- It can range from being a Lazy Model-based Learning System to being an Eager Model-based Learning System.
- It can range from being a Discriminative Learning System to being a Generative Learning System.
- It can be supported by a Model Training Library, or a Model Training Platform.
- Example(s):
- a Regression System, such as a least-squares function fitting system.
- a Statistical Modeling System, such as s Linear Model Learning system or a Logistic Regression Model Learning system.
- a Decision Tree Learning System, such as a C4.5 system.
- a Discriminative Machine Learning System, such as a logistic regression system.
- a Neural-Network Learning System, such as a backprop learning system.
- a Kernel-based Learning System, such as an SVM algorithm.
- …
- Counter-Example(s):
- See: HMM System, CRF System.