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JMLR
2008
94views more  JMLR 2008»
14 years 11 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
ISNN
2010
Springer
14 years 10 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
BMCBI
2006
122views more  BMCBI 2006»
14 years 11 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...

Publication
164views
14 years 12 months ago
Kangaroo: Video Seeking in P2P Systems
A key challenge faced by peer-to-peer(P2P) video-on- demand (VoD) systems is their ability, or lack thereof, to provide DVD-like functionality, such as pause, forward and backward ...
Xiaoyuan Yang, Minas Gjoka, Parminder Chhabra, Ath...
IJAR
2010
97views more  IJAR 2010»
14 years 10 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...