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132
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SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 4 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
160
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ICML
1999
IEEE
16 years 4 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
BMCBI
2007
148views more  BMCBI 2007»
15 years 3 months ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...
141
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SIGMOD
2003
ACM
179views Database» more  SIGMOD 2003»
16 years 3 months ago
Energy and rate based MAC protocol for wireless sensor networks
Abstract-- Sensor networks are typically unattended because of their deployment in hazardous, hostile or remote environments. This makes the problem of conserving energy at individ...
Rajgopal Kannan, Ramaraju Kalidindi, S. Sitharama ...
116
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RT
1998
Springer
15 years 7 months ago
Three Point Clustering for Radiance Computations
Abstract. There has been great success in speeding up global illumination computation in diffuse environments. The concept of clustering allows radiosity computations even for scen...
Marc Stamminger, Philipp Slusallek, Hans-Peter Sei...