Publications related to Conditional probability

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

In this paper, we compare two methods to model the formation of choice sets in the context of discrete choice models. The first method is the probabilistic approach proposed by Manski (1977), who models the choice probability as the joint probability of se ...

2009

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Abstract: Map matching algorithms are the conventional way to generate path observations from GPS data for route choice models. The deterministic matching may introduce extra biases to parameters of route choice models if the matching is wrong. In this pap ...

2009

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Abstract Smartphones collect a wealth of information about their users' environment and activities. This includes GPS (global positioning system) tracks and the MAC (media access control) addresses of devices around the user, and it can go as far as taking ...

2009

Valuation of electricity swing options by multistage stochastic programming

Daniel Kuhn

Electricity swing options are Bermudan-style path-dependent derivatives on electrical energy. We consider an electricity market driven by several exogenous risk factors and formulate the pricing problem for a class of swing option contracts with energy and ...

Elsevier2009

A comparative analysis of implicit and explicit methods to model choice set generation

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

In this paper, we compare two methods to model the formation of choice sets in the context of discrete choice models. The first method is the probabilistic approach proposed by Manski (1977), who explicitly models the choice set generation process by expre ...

2009

Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion

Suhas Diggavi

We consider multiple description (MD) coding for the Gaussian source with K descriptions under the symmetric mean-squared error (MSE) distortion constraints, and provide an approximate characterization of the rate region. We show that the rate region can b ...

2009

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Michel Bierlaire, Gunnar Flötteröd, Ricardo Daniel Hurtubia González

Discrete choice models are defined conditional to the knowledge of the actual choice set by the analyst. The common practice for is to assume that individual-based choice sets can be deterministically generated based on the choice context and the character ...

2009

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Fabio Valente

In this paper we propose a novel information theoretic criterion for optimizing the linear combination of classifiers in multi stream automatic speech recognition. We discuss an objective function that achieves a trade-off between the minimization of a bou ...

2009

Speech/Non-Speech Detection in Meetings from Automatically Extracted Low Resolution Visual Features

Silèye Oumar Ba

In this paper we address the problem of estimating who is speaking from automatically extracted low resolution visual cues from group meetings. Traditionally, the task of speech/non-speech detection or speaker diarization tries to find who speaks and when ...

Idiap2009

Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Conditional probability

Graph Chatbot

Chat with Graph Search

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

Valuation of electricity swing options by multistage stochastic programming

A comparative analysis of implicit and explicit methods to model choice set generation

Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Speech/Non-Speech Detection in Meetings from Automatically Extracted Low Resolution Visual Features

Basis Identification from Random Sparse Samples

An experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit Model

A comparative analysis of implicit and explicit methods to model choice set generation

Basis Identification from Random Sparse Samples

Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion

GENERATING PROBABILISTIC PATH OBSERVATION FROM GPS DATA FOR ROUTE CHOICE MODELING

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Valuation of electricity swing options by multistage stochastic programming

Experimental analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Speech/Non-Speech Detection in Meetings from Automatically Extracted Low Resolution Visual Features