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PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
15 years 7 days 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...
129
Voted
IJAOM
2010
70views more  IJAOM 2010»
14 years 8 months ago
Technology selection in the presence of dual-role factors
Technologies have varied strengths and weaknesses which require careful assessment by the purchasers. One of the uses of Data Envelopment Analysis (DEA) is technology selection. T...
Reza Farzipoor Saen
PROCEDIA
2010
84views more  PROCEDIA 2010»
15 years 7 days ago
Individual-based simulation of sexual selection: A quantitative genetic approach
Sexual selection has been mathematically modeled using quantitative genetics as well as population genetics. Two-locus simulation models have been used to study the evolution of m...
D. van Dijk, Peter M. A. Sloot, J. C. Tay, M. C. S...
102
Voted
CORR
1999
Springer
59views Education» more  CORR 1999»
15 years 1 months ago
HMM Specialization with Selective Lexicalization
We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. 'Our approach examines the d...
Jin-Dong Kim, Sang-Zoo Lee, Hae-Chang Rim
102
Voted
MCS
2002
Springer
15 years 1 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator