Publications related to Conditional probability

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Recently, evidence has emerged that humans approach learning using Bayesian updating rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here, we investigate what this implies for human appreciation of uncertainty. In ou ...

2011

Conditional Random Fields for Multi-Camera Object Detection

Pascal Fua, Horesh Beny Ben Shitrit, Xavier Boix Bosch, Gemma Roig Noguera

We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account different object classes simultaneously. Given several images of the scene tak ...

2011

Context models on sequences of covers

Christos Dimitrakakis

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

Scalable and Secure Aggregation in Distributed Networks

Rachid Guerraoui, Anne-Marie Kermarrec, Hamza Harkous, Florian Huc

We consider the problem of computing an aggregation function in a \emph{secure} and \emph{scalable} way. Whereas previous distributed solutions with similar security guarantees have a communication cost of

O(n^3)

, we present a distributed protocol that r ...

CoRR2011

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

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

Display probability modulates attentional capture by onset distractors

Michael Herzog, Bilge Sayim

Attention can be stimulus-driven and bottom-up or goal-driven and top-down. Bottom-up attention and, particularly, attentional capture are often thought to be strongly automatic, i.e., not modulable. For example, in visual search, it has been shown that sa ...

Association for Research in Vision and Ophthalmology2010

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

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

Conditional probability

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Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Conditional Random Fields for Multi-Camera Object Detection

Context models on sequences of covers

Scalable and Secure Aggregation in Distributed Networks

Multitype Contact Process on Z: Extinction and Interface

Variance stabilizing transformations for meta-analysis of binary data

Display probability modulates attentional capture by onset distractors

Comparative study of ecohydrological streamflow probability distributions

Predicting Usefulness of Measuring Structures during Load Tests

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

Variance stabilizing transformations for meta-analysis of binary data

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

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Conditional Random Fields for Multi-Camera Object Detection

Display probability modulates attentional capture by onset distractors

Scalable and Secure Aggregation in Distributed Networks

Comparative study of ecohydrological streamflow probability distributions

Multitype Contact Process on Z: Extinction and Interface

Context models on sequences of covers

Predicting Usefulness of Measuring Structures during Load Tests