Concept

Multinomial logistic regression

Publications associées (373)

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Sparse Probabilistic Classifiers

The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining this practice. Thus, when classification uncertainty has to be assessed, it i ...

2007

Sparse Probabilistic Classifiers

IDIAP2007

Normalization and correlation of cross-nested logit models

Michel Bierlaire, Emmanuel Abbé

We address two fundamental issues associated with the use of cross-nested logit models. On the one hand, we justify the adequate normalization of the model proposed by Wen and Koppelman (2001). On the other hand, we provide an analysis of the correlation s ...

2007

An Integrated Adaptive Model for Overheating Risk Prediction

Darren Robinson, Frédéric Haldi

Based on results from a field survey campaign, this paper describes three new developments which have been integrated to provide for a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ha ...

2007

An integrated adaptive model for overheating risk prediction

Darren Robinson, Frédéric Haldi

Based on results from a field survey campaign, this paper describes three new developments which have been integrated to provide for a comprehensive basis l'or the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations h ...

Tsinghua University Press, Tsinghua University Press, Beijing 100084, Peoples R China2007

Representative Behaviour and Adaptation of Office Occupants in Building Simulation

Darren Robinson, Frédéric Haldi

During the warm summer of 2006 a comprehensive longitudinal field survey of the adaptive actions of occupants, their thermal satisfaction and the coincident environmental conditions was conducted in eight Swiss offices. Based on analysis of these results w ...

EPFL2007

The estimation of multivariate extreme value models from choice-based samples

Michel Bierlaire

We consider an estimation procedure for discrete choice models in general and Multivariate Extreme Value (MEV) models in particular. It is based on a pseudo-likelihood function, generalizing the Conditional Maximum Likelihood (CML) estimator by Manski and ...

2007

Sampling of Alternatives for Route Choice Modeling

Michel Bierlaire, Emma Frejinger

This paper presents a new paradigm for choice set generation in the context of route choice. We assume that the choice sets contain all paths connecting each origin-destination pair. These sets are in general impossible to generate explicitly. Therefore, w ...

2007

Specification, estimation and validation of a pedestrian walking behavior model

Michel Bierlaire, Gianluca Antonini, Thomas Robin, Sabina Schneider

We propose and validate a model for pedestrian walking behavior, based on discrete choice modeling. Two main behaviors are identified: unconstrained and constrained. The constrained patterns are captured by a leader-follower model and by a collision avoida ...

2007

Sampling of alternatives using multidimensional analysis

Michel Bierlaire

Discrete choice models in general and random utility models in particular may be intractable when the number of alternatives is large. In the transportation context, it typically happens for route choice and destination choice models. In the specific case ...

2007