USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION Preparation of Camera-Ready Contributions to INSTICC Proceedings Bruno Amizic, Aggelos K. Katsaggelos Department of Electrical Engi

Source URL: decsai.ugr.es

• Mathematical analysis
• Statistics
• Mathematics
• Functional analysis
• Probability distributions
• KullbackLeibler divergence
• Statistical theory
• Thermodynamics
• Normal distribution
• Distribution
• Convolution

On Information Divergence Measures, Surrogate Loss Functions and Decentralized Hypothesis Testing XuanLong Nguyen∗ Martin J. Wainwright∗†

Source URL: dept.stat.lsa.umich.edu

• Smooth functions
• Distribution
• Functional analysis
• Constructible universe
• Divergence
• Symbol
• operator

On divergences, surrogate loss functions, and decentralized detection XuanLong Nguyen Computer Science Division University of California, Berkeley

Source URL: dept.stat.lsa.umich.edu

• Mathematics
• Mathematical analysis
• Smooth functions
• Distribution
• Functional analysis
• Constructible universe
• Divergence
• Net
• operator
• Differential forms on a Riemann surface

Asymmetric Functional Divergence of Duplicate Genes in Yeast Andreas Wagner Department of Biology, University of New Mexico Most duplicate genes are eliminated from a genome shortly after duplication, but those that rema

Source URL: www.ieu.uzh.ch

Beyond Differential Privacy: Composition Theorems and Relational Logic for f -divergences between Probabilistic Programs Gilles Barthe and Federico Olmedo IMDEA Software Institute, Madrid, Spain {Gilles.Barthe,Federico.O

Source URL: certicrypt.gforge.inria.fr

• Functional analysis
• Distribution
• Interpretation
• Divergence
• Function
• Constructible universe
• Continuous function
• Mathematical analysis
• Mathematics
• Generalized functions

On Monotonic Convergence to Stability

Source URL: www.demographic-research.org

• Functional analysis
• Kullback–Leibler divergence
• Statistical theory
• Thermodynamics
• Monotonic function
• Logarithm
• Mean
• Convex function
• Mathematical analysis
• Statistics
• Mathematics

Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data Jeremy R. Manning1,2*, Rajesh Ranganath2, Kenneth A. Norman1,3, David M. Blei2 1 Princeton Neuroscience Institute, Princeton Uni

Source URL: www.cs.columbia.edu

• Magnetic resonance imaging
• Neuroimaging
• Statistical models
• Functional magnetic resonance imaging
• Normal distribution
• Principal component analysis
• Kullback–Leibler divergence
• Independent component analysis
• Statistics
• Data analysis
• Multivariate statistics

Decomposing Spatiotemporal Brain Patterns into Topographic Latent Sources Samuel J. Gershman∗ Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Source URL: www.cs.columbia.edu

• Bayesian statistics
• Statistical theory
• Kullback–Leibler divergence
• Thermodynamics
• Identifiability
• Marginal likelihood
• Gamma distribution
• Functional magnetic resonance imaging
• Markov chain
• Statistics
• Logic
• Estimation theory

Astronomy & Astrophysics A&A 540, A34[removed]DOI: [removed][removed]

Source URL: jstarck.free.fr

• Functional analysis
• Analytic geometry
• Helmholtz decomposition
• Weak gravitational lensing
• Wavelet
• Symbol
• Orthogonal wavelet
• Divergence
• Mathematical analysis
• Vector calculus
• Mathematics

Journal of Machine Learning Research ? ([removed]Submitted 8/09; Published ??/?? Information, Divergence and Risk for Binary Experiments Mark D. Reid

Source URL: users.cecs.anu.edu.au

• Generalized functions
• Functional analysis
• Bregman divergence
• Distribution
• Function
• Static single assignment form
• Calculus of variations
• Golden ratio
• Linear temporal logic
• Mathematical analysis
• Mathematics
• Geometry