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ECML
2006
Springer
15 years 8 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
CF
2005
ACM
15 years 6 months ago
Drowsy region-based caches: minimizing both dynamic and static power dissipation
Power consumption within the memory hierarchy grows in importance as on-chip data caches occupy increasingly greater die area. Among dynamic power conservation schemes, horizontal...
Michael J. Geiger, Sally A. McKee, Gary S. Tyson
JCB
2007
198views more  JCB 2007»
15 years 4 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
165
Voted
JCP
2007
150views more  JCP 2007»
15 years 4 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat
BMCBI
2008
141views more  BMCBI 2008»
15 years 4 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...