Publications related to Probabilistic logic

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Probabilistic models for music

Jean-François Paiement

This thesis proposes to analyse symbolic musical data under a statistical viewpoint, using state-of-the-art machine learning techniques. Our main argument is to show that it is possible to design generative models that are able to predict and to generate m ...

École Polytechnique Fédérale de Lausanne2008

On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function

Mehdi Molkaraie

Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we presented sub-tree based upper and lower bounds on the partition function of a g ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Implicit Methods for Probabilistic Modeling of Gene Reglatory Networks

Giovanni De Micheli, Abhishek Garg, Debasree Banerjee

In silico modeling of Gene Regulatory Networks (GRN) has recently aroused a lot of interest in the biological community for modeling and understanding complex pathways. Boolean Networks (BN) are a common modeling tool for in silico dynamic analysis of such ...

2008

Distributed Coverage: From Deterministic to Probabilistic Models

Alcherio Martinoli, Nicolaus Correll

For the multi-robot coverage problem determin- istic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide provable completeness and promise good performance under perfect conditions, probabil ...

2007

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Kevin Smith

In recent years, we have seen a dramatic increase in the amount of video data recorded and stored around the world. Driven by the availability of low-cost video cameras, the ever-decreasing cost of digital media storage, and the explosion in popularity of ...

École Polytechnique Fédérale de Lausanne2007

Simple Form Recognition using Bayesian Programming

Roland Siegwart, Adriana Tapus, Guy Ramel, François Aspert

The environment that surrounds us is very complex. Understanding and interpreting it is a very hard task. This paper proposes an approach allowing simple form recognition with a camera by using a probabilistic approach called Bayesian Programming. The main ...

2006

Chord Representations for Probabilistic Models

Samy Bengio, Jean-François Paiement

Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, three different representations for chords are designe ...

IDIAP2005

A Probabilistic Model for Chord Progressions

Samy Bengio, Jean-François Paiement

Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is designed su ...

2005