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» A clustering method that uses lossy aggregation of data
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113
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ATAL
2007
Springer
15 years 6 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
99
Voted
PG
2003
IEEE
15 years 5 months ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin
114
Voted
SIGIR
1999
ACM
15 years 4 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
105
Voted
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 19 days ago
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
: Montage is a portable software toolkit for constructing custom, science-grade mosaics by composing multiple astronomical images. The mosaics constructed by Montage preserve the a...
Joseph C. Jacob, Daniel S. Katz, G. Bruce Berriman...
BMCBI
2006
157views more  BMCBI 2006»
15 years 18 days ago
Determination of the minimum number of microarray experiments for discovery of gene expression patterns
Background: One type of DNA microarray experiment is discovery of gene expression patterns for a cell line undergoing a biological process over a series of time points. Two import...
Fang-Xiang Wu, W. J. Zhang, Anthony J. Kusalik