<--- Back to Details
First PageDocument Content
Statistical natural language processing / Statistical theory / Expectation–maximization algorithm / Missing data / Mixture model / Dirichlet distribution / Conjugate prior / Exponential family / Multinomial distribution / Statistics / Estimation theory / Bayesian statistics
Date: 2007-08-23 07:07:40
Statistical natural language processing
Statistical theory
Expectation–maximization algorithm
Missing data
Mixture model
Dirichlet distribution
Conjugate prior
Exponential family
Multinomial distribution
Statistics
Estimation theory
Bayesian statistics

Add to Reading List

Source URL: cosco.hiit.fi

Download Document from Source Website

File Size: 201,47 KB

Share Document on Facebook

Similar Documents

Mathematical analysis / Statistics / Probability / Probability distributions / Gaussian function / Normal distribution / TrueSkill / Difference of Gaussians / Conjugate prior

The Math Behind TrueSkill Abstract This paper accompanies my “Computing Your Skill” blog post at moserware.com. It contains selected portions from my paper notebook that I kept on my several-month journey to understa

DocID: 1qFNN - View Document

Statistics / Statistical theory / Probability / Bayesian statistics / Dynamic programming / Markov processes / Stochastic control / Markov decision process / Reinforcement learning / Q-learning / Prior probability / Conjugate prior

Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains

DocID: 1qBkM - View Document

Statistics / Statistical theory / Estimation theory / Bayesian statistics / Statistical inference / Loss function / Markov decision process / Reinforcement learning / Exponential family / Confidence interval / Likelihood function / Conjugate prior

JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan

DocID: 1qpMW - View Document

Statistics / Statistical theory / Probability / Statistical models / Probability distributions / Bayesian statistics / Machine learning / Normal distribution / Prior probability / Random effects model / Bayesian inference / Conjugate prior

Journal of Quantitative Analysis in Sports Volume 7, Issue

DocID: 1q4tY - View Document

Convex analysis / Bayesian statistics / Statistical theory / Mathematical economics / Estimation theory / KullbackLeibler divergence / Transportation theory / Normal distribution / Expected value / Conjugate prior / Mutual information / Convex function

1 Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman

DocID: 1oIhg - View Document