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JMLR
2008
94views more  JMLR 2008»
14 years 9 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 8 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 9 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 9 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 8 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...