Publications associées à Analyse sémantique latente probabiliste

Enhanced measurement equations for latent class choice models

Michel Bierlaire, Ricardo Daniel Hurtubia González, Aurélie Glerum, My Hang Nguyen

Integrating psychometric indicators in latent class choice models allows to enhance the characterization of the latent classes. In this research, we consider measurement equations that include socio-economic indicators of the decision-makers. We show that ...

2013

Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model

Daniel Gatica-Perez, Katayoun Farrahi

Mining patterns of human behavior from large-scale mobile phone data has potential to understand certain phenomena in society. The study of such human-centric massive datasets requires new mathematical models. In this paper, we propose a probabilistic topi ...

2012

Statistical Modeling of Spatial Extremes

Anthony Christopher Davison, Simone Padoan

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection. This article reviews recent progress in the ...

Institute of Mathematical Statistics2012

Linking Speaking and Looking Behavior Patterns with Group Composition, Perception, and Performance

Daniel Gatica-Perez, Dinesh Babu Jayagopi, Dairazalia Sanchez Cortes

This paper addresses the task of mining typical behavioral patterns from small group face-to-face interactions and linking them to social-psychological group variables. Towards this goal, we define group speaking and looking cues by aggregating automatical ...

2012

Extremes: spatial parametric modeling

Anthony Christopher Davison

Statistics of spatial extremes is developing very rapidly, owing to the demands of applications in the environmental sciences and the insurance and risk industries. This entry sketches the main ideas, based on classical extreme-value statistics. The two ma ...

John Wiley2012

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Philippe Cudré-Mauroux, Roman Prokofyev

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

Estimation of bid functions for location choice and price modeling with a latent variable approach

Michel Bierlaire, Ricardo Daniel Hurtubia González

A new approach for the estimation of bid-rent functions for location choice is proposed. The method considers that the expected maximum bid in the auction of a good is a latent variable than can be related to observed prices for similar goods. The model ge ...

2012

Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models

Daniel Gatica-Perez, Katayoun Farrahi

In this work we discover the daily location-driven routines which are contained in a massive real-life human dataset collected by mobile phones. Our goal is the discovery and analysis of human routines which characterize both individual and group behaviors ...

2011

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Analyse sémantique latente probabiliste

Enhanced measurement equations for latent class choice models

Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model

Statistical Modeling of Spatial Extremes

Linking Speaking and Looking Behavior Patterns with Group Composition, Perception, and Performance

Extremes: spatial parametric modeling

Sequential Topic Models for Mining Recurrent Activities and their Relationships

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Estimation of bid functions for location choice and price modeling with a latent variable approach

A Probabilistic Approach to Socio-Geographic Reality Mining

Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models

Graph Chatbot

Chattez avec Graph Search

Enhanced measurement equations for latent class choice models

Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model

Statistical Modeling of Spatial Extremes

Extremes: spatial parametric modeling

Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models

Sequential Topic Models for Mining Recurrent Activities and their Relationships

Estimation of bid functions for location choice and price modeling with a latent variable approach

Linking Speaking and Looking Behavior Patterns with Group Composition, Perception, and Performance

Tag Recommendation for Large-Scale Ontology-Based Information Systems

A Probabilistic Approach to Socio-Geographic Reality Mining