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» Can Learning in the Limit Be Done Efficiently
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IJCAI
1997
13 years 6 months ago
Learning to Improve both Efficiency and Quality of Planning
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Tara A. Estlin, Raymond J. Mooney
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
13 years 8 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...
JPDC
2006
90views more  JPDC 2006»
13 years 4 months ago
Running OpenMP applications efficiently on an everything-shared SDSM
Traditional software distributed shared memory (SDSM) systems modify the semantics of a real hardware shared memory system by relaxing the coherence semantic and by limiting the m...
Juan José Costa, Toni Cortes, Xavier Martor...
ECML
2006
Springer
13 years 8 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
BMCBI
2005
125views more  BMCBI 2005»
13 years 4 months ago
A simple approach for protein name identification: prospects and limits
Background: Significant parts of biological knowledge are available only as unstructured text in articles of biomedical journals. By automatically identifying gene and gene produc...
Katrin Fundel, Daniel Güttler, Ralf Zimmer, J...