Concept

Réseau bayésien

Publications associées (338)

Mean field variational Bayesian inference for nonparametric regression with measurement error

A fast mean field variational Bayes (MFVB) approach to nonparametric regression when the predictors are subject to classical measurement error is investigated. It is shown that the use of such technology to the measurement error setting achieves reasonable ...

Elsevier2013

Detecting pedestrian destinations from ubiquitous digital footprint

Antonin Danalet

Walking is the key for efficient multimodal transport systems. Pedestrian infrastructures, such as railway stations, face congestion and need to understand flows. Data is required for models that can help managers in their infrastructure planning. In this ...

2013

Sparsity and the Bayesian perspective

Jean-Luc Starck, Anaïs Marie Rassat

Sparsity has recently been introduced in cosmology for weak-lensing and cosmic microwave background (CMB) data analysis for different applications such as denoising, component separation, or inpainting (i.e., filling the missing data or the mask). Although ...

Edp Sciences S A2013

Optimal Location and Sizing of Distributed Storage Systems in Active Distribution Networks

Mario Paolone, Mostafa Nick, Marc Hohmann

Energy balance and ancillary services provided by distributed storage systems to active distribution networks represent two aspects of a single problem that needs to be properly treated in view of the typical distribution networks parameters. In this conte ...

2013

Synthesizing Social Proximity Networks by Combining Subjective Surveys with Digital Traces

Marcel Salathé

Synthetic social contact networks play a central role in the study of epidemics and methods to control them. In this paper we propose a new methodology that combines subjective surveys and data obtained using digital devices to synthesize detailed social n ...

IEEE2013

A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures

Michel Bierlaire, Bilal Farooq, Antonin Danalet

In this technical report, we propose a methodology to use the communication network infra- structure, in particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due to the poor quality of WiFi localization, a probabilist ...

2013

Multi-round computation of type-threshold functions in collocated Gaussian networks

Michael Christoph Gastpar, Chien-Yi Wang

In wireless sensor networks, various applications involve learning one or multiple functions of the measurements observed by sensors, rather than the measurements themselves. This paper focuses on the computation of type-threshold functions which include t ...

2013

Structural identification with systematic errors and unknown uncertainty dependencies

Ian Smith, James-Alexandre Goulet

When system identification methodologies are used to interpret measurement data taken from structures, uncertainty dependencies are in many cases unknown due to model simplifications and omissions. This paper presents how error-domain model falsification r ...

Elsevier2013

Identification of biological models from single-cell data: a comparison between mixed-effects and moment-based inference

Giancarlo Ferrari Trecate

Experimental techniques in biology such as microfluidic devices and time-lapse microscopy allow tracking of the gene expression in single cells over time. So far, few attempts have been made to fully exploit these data for modeling the dynamics of biologic ...

2013

Iterative Learning and Denoising in Convolutional Neural Associative Memories

Mohammad Amin Shokrollahi, Amin Karbasi, Amir Hesam Salavati

The task of a neural associative memory is to retrieve a set of previously memorized pat- terns from their noisy versions by using a net- work of neurons. Hence, an ideal network should be able to 1) gradually learn a set of patterns, 2) retrieve the corre ...

2013

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