Mathematical and Machine Learning approaches to Context
References for Machine Learning
Machine Learning is often described as Classification
Leaning problems for context-aware applications
Traditional mathematical inference techniques
Watch out for hidden assumptions in machine learning
Generalization Lattice
Version Spaces
Case-Based Reasoning
Explanation-Based Generalization
Learning by Analogy
Sequence prediction
Approaches that use large numbers of examples
Large-example-set approaches appropriate for context problems?
Statistical approaches: Clustering
Discrimination Net
Feature selection problem
The Frame Problem in AI
Circumscription
Inference rules take "extra argument" of context
Email: lieber@media.mit.edu
Home Page: http://www.media.mit.edu/~lieber
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