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ICML
2004
IEEE
14 years 7 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 4 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
ESANN
2008
13 years 7 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
ECIS
2000
13 years 7 months ago
Information Filtering and Automatic Keyword Identification by Artificial Neural Networks
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represe...
Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Sho...
ICASSP
2011
IEEE
12 years 10 months ago
A segment-level confidence measure for Spoken Document Retrieval
This paper presents a semantic confidence measure that aims to predict the relevance of automatic transcripts for a task of Spoken Document Retrieval (SDR). The proposed predicti...
Grégory Senay, Georges Linares, Benjamin Le...