Concept

Bayesian probability

Related publications (388)

Context models on sequences of covers

We present a class of models that, via a simple construction, enables exact, incremental, non-parametric, polynomial-time, Bayesian inference of conditional measures. The approach relies upon creating a sequence of covers on the conditioning variable and m ...

2011

Creating Probabilistic Databases from Imprecise Time-Series Data

Karl Aberer, Saket Sathe, Ho Young Jeung

Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to the lack of means for creating probabilistic databases. In fact, it is a challenging ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

A personalized measure of thermal comfort for building controls

Nicolas Morel, Frédéric Haldi, David Daum

A personalized measure for thermal comfort has been applied for use in combination with smart controls for building automation. Using data from a field study, we first show the superiority of personalized measures for thermal comfort compared to standard n ...

Elsevier2011

Variance stabilizing transformations for meta-analysis of binary data

Philippe Vuistiner

The binary data are often used in the medical field or in social sciences to study an effect between two groups. It can be for example the effect of a treatment between a treated and a control group. The outcome will be the number of successes and the tota ...

2010

Comparative study of ecohydrological streamflow probability distributions

Andrea Rinaldo, Enrico Bertuzzo, Serena Ceola, Gianluca Botter

We run a comparative study of ecohydrological models of streamflow probability distributions (pdfs), p(Q), derived by Botter et al. (2007a, 2009), against field data gathered in different hydrological contexts. Streamflows measured in several catchments ac ...

American Geophysical Union2010

Predicting Usefulness of Measuring Structures during Load Tests

Ian Smith, James-Alexandre Goulet

This paper presents an approach for model identifiability that builds upon recent research into measurement data interpretation. The objective of this approach is to determine probabilistically to what degree the number of models able to explain a measured ...

2010

Simple Methods for Evaluating and Comparing Binary Experiments

Thomas Alois Weber

We consider a confidence parametrization of binary information sources in terms of appropriate likelihood ratios. This parametrization is used for Bayesian belief updates and for the equivalent comparison of binary experiments. In contrast to the standard ...

2010

Stochastic Optimization of Sailing Trajectories in an America's Cup Race

Frédéric Dumas

The main objective of the thesis is the study and the determination of an optimal navigation strategy, for a sailboat in an America's Cup race, by methods of stochastic optimization. Such methods are appropriate because the sailing team expects the wind to ...

EPFL2010

Investigation of kNN Classifier on Posterior Features Towards Application in Automatic Speech Recognition

Hervé Bourlard, Afsaneh Asaei, Benjamin Picart

Class posterior distributions can be used to classify or as intermediate features, which can be further exploited in different classifiers (e.g., Gaussian Mixture Models, GMM) towards improving speech recognition performance. In this paper we examine the p ...

Idiap2010

Multitype Contact Process on Z: Extinction and Interface

Daniel Rodrigues Valesin

We consider a two-type contact process on Z in which both types have equal finite range and supercritical infection rate. We show that a given type becomes extinct with probability 1 if and only if, in the initial configuration, it is confined to a finite ...

2010

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.