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ICML
2004
IEEE
12 years 6 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»
11 years 3 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
11 years 6 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
11 years 6 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
10 years 9 months ago
A segment-level confidence measure for Spoken Document Retrieval
This paper presents a semantic conļ¬dence 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...
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