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» Entropy estimation using the principle of maximum entropy
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CG
2000
Springer
14 years 18 hour ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
JMIV
2006
185views more  JMIV 2006»
13 years 7 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec
PET
2010
Springer
13 years 11 months ago
How Unique Is Your Web Browser?
We investigate the degree to which modern web browsers are subject to “device fingerprinting” via the version and configuration information that they will transmit to website...
Peter Eckersley
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
BIPAD: A web server for modeling bipartite sequence elements
Background: Many dimeric protein complexes bind cooperatively to families of bipartite nucleic acid sequence elements, which consist of pairs of conserved half-site sequences sepa...
Chengpeng Bi, Peter K. Rogan
PR
2006
127views more  PR 2006»
13 years 7 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu