NONCOMPUTABLE CONDITIONAL DISTRIBUTIONS NATHANAEL L. ACKERMAN, CAMERON E. FREER, AND DANIEL M. ROY Abstract. We study the computability of conditional probability, a fundamental notion in probability theory and Bayesian

Source URL: cfreer.org

Crash Course in Statistics for Neuroscience Center Zurich University of Zurich Dr. C.J. Luchsinger Summary Chapter 1-5 Conditional Probability

Source URL: www.luchsinger-mathematics.ch

Optimality of Non-Adaptive Strategies: The Case of Parallel Games Gr´egory Demay∗ , Peter Gaˇzi† , Ueli Maurer∗ , Bj¨orn Tackmann∗ ∗ Department of Computer Science, ETH Z¨urich, Switzerland

Source URL: pub.ist.ac.at

• Probability
• Probability theory
• Expected value
• Conditional probability distribution

Chair of Software Engineering Robotics Programming Laboratory Bertrand Meyer Jiwon Shin

Source URL: se.inf.ethz.ch

• Statistics
• Robot control
• Probability
• Mathematical analysis
• Estimation theory
• Linear filters
• Computational statistics
• Kalman filter
• Conditional probability
• Joint probability distribution
• Particle filter

Algorithmic Construction of Low-Discrepancy Point Sets via Dependent Randomized Rounding Benjamin Doerra , Michael Gnewuchb , Magnus Wahlstr¨oma a Max-Planck-Institut f¨

Source URL: www.numerik.uni-kiel.de

• Mathematics
• Mathematical analysis
• Probability
• Quasirandomness
• Algorithms
• Randomized rounding
• Low-discrepancy sequence
• Chernoff bound
• Rounding
• Exponentiation
• Method of conditional probabilities

Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation Yutian Chen Andrew Gelfand Charless C. Fowlkes Max Welling Bren School of Information and Computer Scienc

Source URL: www.ics.uci.edu

• Applied mathematics
• Probability theory
• Image processing
• Artificial intelligence
• Conditional random field
• Segmentation
• Entailment
• Constructible universe
• Markov random field
• Logic
• Graphical models
• Theoretical computer science

LQfiltering_final_October_2008.dvi

Source URL: www.tomsargent.com

• Systems theory
• Cybernetics
• Linear-quadratic-Gaussian control
• Conditional expectation
• Independence
• Bellman equation
• Multivariate random variable
• Conditioning
• Probability theory
• Statistics
• Control theory

Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar,

Source URL: www.sanjivk.com

• Theoretical computer science
• Probability
• Graphical models
• Statistical models
• Bayesian statistics
• Conditional random field
• Discriminative model
• Generative model
• Markov random field
• Statistics
• Machine learning
• Probability and statistics

A Note on Preference Uncertainty and Communication in Committees1 David Austen-Smith MEDS, Kellogg Graduate School of Management Northwestern University Evanston, IL 60208

Source URL: www.kellogg.northwestern.edu

• Neuropsychological assessment
• Conditional probability
• Statistics
• Neuroscience
• Philosophical logic
• Decision theory
• Critical thinking
• Decision making

arXiv:1301.4168v2 [cs.LG] 16 MarHerded Gibbs Sampling Luke Bornn Harvard University

Source URL: www.ics.uci.edu

• Applied mathematics
• Statistical mechanics
• Markov chain Monte Carlo
• Gibbs sampling
• Monte Carlo methods
• Conditional random field
• Gibbs algorithm
• Markov chain
• Viterbi algorithm
• Statistics
• Probability and statistics
• Markov models