PRISM is a probabilistic model checker, a tool for formal modelling and analysis of systems that exhibit random or probabilistic behavior.
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Updated
Dec 16, 2016 - Perl 6
PRISM is a probabilistic model checker, a tool for formal modelling and analysis of systems that exhibit random or probabilistic behavior.
A simple implementation of Bayes and Naive Bayes classifier.
Probabilistic Data Structures
Implemented normalized, polar and delta feature sets, cross validation folds, Bayesian Information Criterion and Discriminative Information Criterion model selectors, as well as the recognizer in order to detect and translate sign language into text using hidden markov models as part of the Udacity Artificial Intelligence Nanodegree.
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
Software for creating predictive models about client financial default
an artificial intelligence project to recognize american sign language
A repository to toy around with Edward to use Bayesian models for Machine Learning.
Pacman game AI built for Artificial intelligence course CSE537 at Stony brook university
Active Learning with Cross-Class Similarity Transfer
IIT(BHU)
A probabilistic approach to measure genome similarity
Research Platform for an Energy Efficient Blockchain Miner
A consistency checker for probabilistic software quality models
A naive bayes approach to classify spam from the UCI spambase
Language detection for tweets.
A word recognizer for American Sign Language video sequences using hidden Markov models (HMM's)
Probabilistic Models of Human and Machine Intelligence
A Hidden Markov Model for American Sign Language Recognition
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