GENETIC ALGORITHMS
This article gives an introduction to genetic algorithms. It explains the background and the mechanism behind genetic algorithms in detail. BACKGROUND […]
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REINFORCEMENT LEARNING
WHAT IS REINFORCEMENT LEARNING? Reinforcement learning is one of the most active research areas in Artificial Intelligence. Reinforcement learning is training by rewards
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BACKPROPAGATION
Backpropagation is a kind of neural network. A Neural Network (or artificial neural network) is a collection of interconnected processing elements or nodes.
LEARNING BY MANAGING MULTIPLE MODELS
Learning can be done by managing a set of general models and a set of specific models kept in a
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LEARNING BY RECORDING CASES
A program that learns by recording cases generally makes use of consistency heuristic. According to consistency heuristic, a property of
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LEARNING BY CORRECTING MISTAKES
While learning new things, there is a possibility that the learning system may make mistakes. Like human beings, learning system
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DISCOVERY BASED LEARNING: CLUSTERING
Discovery is a restricted form of learning. The knowledge acquisition is done without getting any assistance from a teacher. Discovery
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EXPLANATION-BASED LEARNING
An Explanation-based Learning (EBL ) system accepts an example (i.e. a training example) and explains what it learns from the example.
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LEARNING BY CHUNKING
WHAT IS CHUNKING? Chunking is similar to learnig with macro-operators. Generally, it is used by problem solver systems that make use of
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LEARNING WITH MACRO-OPERATORS
Sequence of actions that can be treated as a whole are called macro-operators. Once a problem is solved, the learning
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