CrossMark_Color_Stacked_p

Source URL: cocosci.berkeley.edu

• Statistics
• Statistical theory
• Philosophy
• Philosophy of science
• Statistical inference
• Sampling techniques
• Statistical mechanics
• Stochastic simulation
• Bayesian network
• Bayesian inference
• Inference
• Monte Carlo method

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints Jos´e Miguel Hern´andez-Lobato1 Harvard University, Cambridge, MAUSA

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

MCMC and the Label Switching Problem in Bayesian Mixture Modelling 1 Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modelling

Source URL: www.stats.ox.ac.uk

Cognitive Science–160 Copyright ! 2009 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: j01072.x Inferring Hidden Causal Structur

Source URL: eccl.mit.edu

• Philosophy of science
• Graphical models
• Causal inference
• Statistical models
• Causality
• Conditionals
• Causal reasoning
• Causal graph
• Bayesian network
• Determinism
• Statistics
• Psychology

Visually-Grounded Bayesian Word Learning Yangqing Jia Joshua Abbott Joseph Austerweil Thomas Griffiths

Source URL: www.eecs.berkeley.edu

Kending, Taiwan, Non-projective quantum measurement of solid-state qubits: Bayesian formalism (what is “inside” collapse) Alexander Korotkov

Source URL: www.ee.ucr.edu

Real-Time Forecasting with a Large, Mixed Frequency, Bayesian VAR

Source URL: research.stlouisfed.org

Adding More Languages Improves Unsupervised Multilingual Tagging A Bayesian Non-Parametric Approach Benjamin Snyder, Tahira Naseem Jacob Eisenstein and Regina Barzilay

Source URL: pages.cs.wisc.edu

BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

Source URL: www.algo.uni-konstanz.de

• Algebra
• Mathematics
• Information science
• Linear algebra
• Matrix theory
• Recommender systems
• Statistical theory
• Collaborative filtering
• Machine learning
• Loss function
• Singular value decomposition
• Artificial neural network

CLASS PROJECT FOR EE225B (SPRING 2006), UNIVERSITY OF CALIFORNIA-BERKELEY 1 Sparse Signal Representation: Image Compression using Sparse Bayesian Learning

Source URL: www.ericbattenberg.com

• Statistics
• Signal processing
• Mathematical analysis
• Probability
• Multivariate statistics
• Numerical linear algebra
• Sparse approximation
• Wavelet
• Filter bank
• Normal distribution
• Matching pursuit
• Linear algebra