Add probability.jl, mdp.jl, learning.jl, kl.jl, rl.jl, nlp.jl, and text.jl with their respective Base.Test tests. - Githubissues

aimacode / aima-julia

Julia implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

MIT License

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Add probability.jl, mdp.jl, learning.jl, kl.jl, rl.jl, nlp.jl, and text.jl with their respective Base.Test tests. #10

Closed mikhail-j closed 6 years ago

mikhail-j commented 6 years ago

@norvig This pull request covers the following: probability.jl

discrete probability distributions
rejection sampling
likelihood weighting
gibbs sampling algorithm
forward-backward algorithm
fixed lag smoothing
particle filtering
Monte Carlo localization

mdp.jl

value iteration
optimal policy
policy iteration

learning.jl

decision tree learning
k-nearest neighbors algorithm
cross validation
decision list learning
back propagation leraning (neural networks)
ensemble learning
random forest
perceptron learning
linear regression learning
Adaboost
naive bayes classifier

kl.jl

current best learning
version space learning
minimal consistent determination
FOIL

rl.jl

passive ADP agent
passive TD agent
Q learning agent

nlp.jl

rules, lexicon, and grammar
chart parsing
CYK parsing algorithm
HITS algorithm

text.py

encoding/decoding
unigrams/n-grams
Viterbi algorithm
IR systems

norvig commented 6 years ago

This is an awesome amount of work and it looks great. Thanks for your dedication to this project!