Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton University

Source URL: www.cs.columbia.edu

• Variational Bayesian methods
• Statistical models
• Expectation–maximization algorithm
• Dirichlet process
• Gibbs sampling
• Mixture model
• Bayesian inference
• Exponential family
• Kullback–Leibler divergence
• Statistics
• Bayesian statistics
• Statistical theory

Agglomerative Bregman Clustering Matus Telgarsky [removed] Sanjoy Dasgupta [removed]

Source URL: cseweb.ucsd.edu

• Functions and mappings
• Bregman divergence
• Convex function
• Distribution
• Surjective function
• Mathematical analysis
• Mathematics
• Convex analysis

Figure 5.15: Divergence (s-1) (colour shaded) and vorticity (s-1) (white contour) near surface for January as given by the control (A) and deforestation (B) experiments. Changes (deforest.-control) are given in (C). (Ass

Source URL: www.cru.uea.ac.uk

CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science

Source URL: www.cs.columbia.edu

• Dirichlet process
• Hidden Markov model
• Mixture model
• Expectation–maximization algorithm
• Information retrieval
• Dirichlet distribution
• Normal distribution
• Semantic similarity
• Kullback–Leibler divergence
• Statistics
• Machine learning
• Natural language processing

Similarity Search on Bregman Divergence: Towards Non-Metric Indexing Zhenjie Zhang1 1 Beng Chin Ooi1

Source URL: www.vldb.org

• Statistical theory
• R-tree
• Bregman divergence
• Kullback–Leibler divergence
• Nearest neighbor search
• Divergence
• IDistance
• K-d tree
• Minimum bounding rectangle
• Geometry
• Mathematics
• Statistics

The Effect of Closure on the Estimation of Divergence Times in Phylogenetics Bodie Kaine Supervisors: Dr. Jeremy Sumner and Dr. Barbara Holland Modelling Nucleotide Substitution

Source URL: www.maths.utas.edu.au

• Stochastic matrix
• Markov models
• Markov processes
• Markov chain

Part III Physics exams 2004–2006 Information Theory, Pattern Recognition and Neural Networks Part III Physics exams[removed]

Source URL: wol.ra.phy.cam.ac.uk

• Mathematics
• Mutual information
• Entropy
• Exponential distribution
• Conditional entropy
• Maximum likelihood
• Noisy-channel coding theorem
• Kullback–Leibler divergence
• Z-channel
• Information theory
• Statistics
• Information

Stochastic Variational Inference for Hidden Markov Models arXiv:1411.1670v1 [stat.ML] 6 Nov[removed]Nicholas J. Foti† , Jason Xu† , Dillon Laird, and Emily B. Fox

Source URL: arxiv.org

• Markov models
• Expectation–maximization algorithm
• Missing data
• Statistical theory
• Hidden Markov model
• Variational Bayesian methods
• Markov chain
• Conjugate prior
• Kullback–Leibler divergence
• Statistics
• Bayesian statistics
• Estimation theory

Microsoft Word - MAIN-Pages41-to-66.doc

Source URL: www-ieem.ust.hk

• Mind
• Vision
• Mental processes
• Perception
• Vergence
• Fusional vergence
• Eye movement
• Divergence
• Depth perception
• Eye
• Optics
• Stereoscopy

2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging Dissimilarity-based Detection of Schizophrenia A. Ulas¸† , R.P.W. Duin∗ , U. Castellani† , M. Loog∗ , M. Bicego†‡ , V. M

Source URL: profs.sci.univr.it

• Kullback–Leibler divergence
• Statistical theory
• Thermodynamics
• STING
• Structural similarity
• Similarity
• Euclidean distance
• G factor
• Geometry
• Metric geometry
• Educational psychology