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Machine Learning and Reasoning

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Introduction
Motivations
Recommender system
Collaborative filtering
Clinical decision support system
Historical systems
SHRDLU
Mycin
Automated Mathematician
Eurisko
Cyc
Adam
Prolog
Planner
Theoretical foundations
Machine learning
Data mining
First-order logic
Logic programming
Information theory
Bayes' theorem
Bayesian inference
Graph theory
Classification and regression
Statistical classification
Cluster analysis
Naive Bayes classifier
Regression analysis
Logistic regression
Bayesian linear regression
Knowledge systems
Knowledge representation and reasoning
Ontology
Expert system
Production system
Semantic network
Semantic Web
Advanced topics
Association rule learning
Decision tree learning
Support vector machine
Automated theorem proving
Principal component analysis
Fuzzy logic
Artificial neural network
Expectation-maximization algorithm
Hidden Markov model
Kalman filter