User:Textminer/Books/assessment and measurement of intelligence
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assessment and measurement of intelligence[edit]
- Abductive reasoning
- AI winter
- Alan Turing
- Alpha–beta pruning
- Arthur Samuel
- Artificial intelligence
- Artificial neural network
- As We May Think
- Automated planning and scheduling
- Binary classification
- Binary Independence Model
- C. J. van Rijsbergen
- Calvin Mooers
- Case-based reasoning
- Circumscription (logic)
- Classification
- Cognition
- Cognitive science
- Commonsense reasoning
- Communication
- Computer science
- Computer vision
- Confusion matrix
- Cybernetics
- Data mining
- Deep learning
- Defeasible reasoning
- Divergence-from-randomness model
- Emanuel Goldberg
- Emergent algorithm
- Epistemology
- Eugene Garfield
- Evolutionary computation
- Expert system
- Extended Boolean model
- F1 score
- Fuzzy retrieval
- Generalized vector space model
- Gerard Salton
- Glossary of artificial intelligence
- Hans Peter Luhn
- Information
- Information Coding Classification
- Information overload
- Information retrieval
- Information theory
- Intelligence
- Knowledge
- Language
- Language model
- Latent Dirichlet allocation
- Latent semantic analysis
- Linguistics
- Logic
- Machine learning
- Markov logic network
- Mathematical optimization
- Mean reciprocal rank
- Meaning (linguistics)
- Melvin Earl Maron
- Memoization
- Mind
- Minimax
- National Institute of Standards and Technology
- Nick Jardine
- Non-monotonic logic
- Okapi BM25
- Outline of object recognition
- Pattern recognition
- Precision and recall
- Probabilistic relevance model
- Psychology
- Qualification problem
- Ramification problem
- Reason
- Receiver operating characteristic
- Robotic mapping
- Semantics
- Semiotics
- Soft computing
- Spearman's rank correlation coefficient
- Standard Boolean model
- Ted Nelson
- Text mining
- Text Retrieval Conference
- Thought
- Topic-based vector space model
- Uncertain inference
- Understanding
- Vannevar Bush
- Vector space model
- Łukasiewicz logic