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ICML
2010
IEEE
15 years 7 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
AMC
2010
155views more  AMC 2010»
15 years 6 months ago
Temporally regularized direct numerical simulation
Experience with fluid-flow simulation suggests that, in some instances, under-resolved direct numerical simulation (DNS), without a residual-stress model per se but with artificial...
William J. Layton, C. David Pruett, Leo G. Rebholz
COR
2010
110views more  COR 2010»
15 years 6 months ago
An evolutionary method for complex-process optimization
In this paper we present a new evolutionary method for complex-process optimization. It is partially based on principles of the scatter search methodology, but it makes use of inn...
Jose A. Egea, Rafael Martí, Julio R. Banga
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 6 months ago
Boosting Multi-Core Reachability Performance with Shared Hash Tables
Abstract--This paper focuses on data structures for multicore reachability, which is a key component in model checking algorithms and other verification methods. A cornerstone of a...
Alfons Laarman, Jaco van de Pol, Michael Weber 000...
ARTMED
2006
75views more  ARTMED 2006»
15 years 6 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...