Jump to content

User:André Luiz Caregnato/Books/Introdução ào processamento de linguagem natural e inteligência artificial

From Wikipedia, the free encyclopedia


Introdução ào processamento de linguagem natural e inteligência artificial

[edit]
Machine learning
Computational learning theory
Developmental robotics
Multi-task learning
Artificial intelligence
Moore's law
Artificial general intelligence
Evolutionary computation
Human-based genetic algorithm
History of artificial intelligence
Reinforcement learning
Cluster analysis
Unsupervised learning
Bayesian network
Inductive logic programming
Association rule learning
Decision tree learning
List of machine learning algorithms
Robot learning
Cognitive model
Cognitive science
International Conference on Machine Learning
Scikit-learn
Weka (machine learning)
Handwriting recognition
Adaptive website
Outline of object recognition
Syntactic pattern recognition
Sequential Pattern Mining
Default logic
Regression analysis
Artificial intelligence, situated approach
Qualification problem
Similarity learning
Automated planning and scheduling
Upper ontology
Natural language processing
Ontology engineering
Knowledge engineering
Theoretical computer science
Decision theory
Time complexity
P versus NP problem
One-way function
Frequentist probability
Bayesian probability
Probably approximately correct learning
Knowledge representation and reasoning
Algorithmic learning theory
Online machine learning
Grammar induction
Stability (learning theory)
Vapnik–Chervonenkis theory
Inductive transfer
Orthogonality
Machine perception
Computer vision
Speech recognition
Facial recognition system
Game theory
Artificial intuition
AI-complete
Artificial consciousness
Artificial brain
Synthetic intelligence
Soar (cognitive architecture)
John McCarthy (computer scientist)
Neats vs. scruffies
Commonsense knowledge (artificial intelligence)
Pattern recognition
Control theory
Embodied cognition
Agent architecture
Cognitive architecture
Hybrid intelligent system
Artificial intelligence systems integration
Hierarchical control system
Subsumption architecture
Search algorithm
Mathematical optimization
Means-ends analysis
Heuristic
Simulated annealing
Beam search
Random optimization
Logic programming
Automated reasoning
Subjective logic
Non-monotonic logic
Hidden Markov model
Kalman filter
Utility
Expectation–maximization algorithm
Decision analysis
Applied information economics
Markov decision process
Statistical classification
Kernel method
Support vector machine
K-nearest neighbors algorithm
Mixture model
Naive Bayes classifier
Backpropagation
Hebbian theory
Competitive learning
Intelligent control
List of programming languages for artificial intelligence
AI effect
Competitions and prizes in artificial intelligence
Roomba
Philosophy of artificial intelligence
Ethics of artificial intelligence
Transhumanism
Technological singularity
Recursive self-improvement
Computational theory of mind
AIBO
Roboethics
Philosophy of mind