Exponential Reservoir Sampling for Streaming Language Models Ashwin Lall Benjamin Van Durme Miles Osborne∗ School of Informatics Mathematics and Computer Science

Source URL: www.aclweb.org

• Mathematical analysis
• Statistical theory
• Probability and statistics
• Sampling techniques
• Infinitely divisible probability distributions
• Survival analysis
• Sampling
• Survey methodology
• Simple random sample
• Reservoir sampling
• Exponential distribution
• Perplexity

Raqs media collective Raqs media collective Raqs media collective: The contribution will draw on some texts, conversations and images. It will be attempt to invoke our perplexity, amazement and anxiousness about

Source URL: www.raqsmediacollective.net

12th International Society for Music Information Retrieval Conference (ISMIRA PERPLEXITY BASED COVER SONG MATCHING SYSTEM FOR SHORT LENGTH QUERIES Er dem Unal1

Source URL: ismir2011.ismir.net

NEW VOICES: CHALLENGING THE PERPLEXITY OVER JUS IN BELLO PROPORTIONALITY Joshua Andresen* Abstract: Contrary to the common claim that jus in bello proportionality is an obscure and intractable principle of modern warfare

Source URL: www.ejls.eu

Towards Domain Adaptation for Parsing Web Data Mohammad Khan Indiana University Bloomington, IN USA

Source URL: cl.indiana.edu

• Linguistics
• Computational linguistics
• Corpus linguistics
• Applied linguistics
• Natural language processing
• Parsing
• Treebank
• Part-of-speech tagging
• Perplexity
• Text corpus
• GOLD

Asynchronous Distributed Learning of Topic Models Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine Irvine, CA

Source URL: www.ics.uci.edu

• Statistical natural language processing
• Latent Dirichlet allocation
• Linear discriminant analysis
• Parallel algorithm
• Multi-core processor
• Topic model
• Algorithm
• Perplexity
• Speedup
• Statistics
• Parallel computing
• Computing

Distributed Stochastic Gradient MCMC Sungjin Ahn Department of Computer Science, University of California, Irvine, CA 92697, USA Babak Shahbaba Department of Statistics, University of California, Irvine, CA 92697, USA

Source URL: www.ics.uci.edu

• Estimation theory
• Markov chain Monte Carlo
• Estimator
• Markov chain
• Latent Dirichlet allocation
• Perplexity
• Normal distribution
• Statistics
• Statistical inference
• Markov models

Hybrid Variational/Gibbs Collapsed Inference in Topic Models Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA

Source URL: www.ics.uci.edu

• Variational Bayesian methods
• Expectation–maximization algorithm
• Gibbs sampling
• Bayesian network
• Centimetre–gram–second system of units
• Belief propagation
• Bayesian inference
• Latent Dirichlet allocation
• Perplexity
• Statistics
• Bayesian statistics
• Graphical models

Deterministic Latent Variable Models and their Pitfalls Max Welling∗ Chaitanya Chemudugunta Nathan Sutter Bren School of Information and Computer Science University of California, Irvine

Source URL: www.ics.uci.edu

• Information theory
• Statistical natural language processing
• Categorical data
• Probabilistic latent semantic analysis
• Expectation–maximization algorithm
• Perplexity
• Entropy
• Kullback–Leibler divergence
• Likelihood function
• Statistics
• Estimation theory
• Statistical theory

A PLSA-based Language Model for Conversational Telephone Speech David Mrva and Philip C. Woodland Cambridge University Engineering Department Trumpington Street, Cambridge, CB2 1PZ, UK {dm312,pcw}@eng.cam.ac.uk

Source URL: mi.eng.cam.ac.uk

• Probability and statistics
• Probabilistic latent semantic analysis
• Perplexity
• N-gram
• Language model
• ZK
• Statistical natural language processing
• Statistics
• Computing