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JMLR
2002
111views more  JMLR 2002»
13 years 5 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JCB
1998
129views more  JCB 1998»
13 years 5 months ago
A Sticker-Based Model for DNA Computation
We introduce a new model of molecular computation that we call the sticker model. Like many previous proposals it makes use of DNA strands as the physical substrate in which infor...
Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nic...
NAR
2002
164views more  NAR 2002»
13 years 5 months ago
SCOP database in 2002: refinements accommodate structural genomics
The SCOP (Structural Classification of Proteins) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationsh...
Loredana Lo Conte, Steven E. Brenner, Tim J. P. Hu...
INFORMS
2010
138views more  INFORMS 2010»
13 years 4 months ago
Pruning Moves
The concept of dominance among nodes of a branch-decision tree, although known since a long time, is not exploited by general-purpose Mixed-Integer Linear Programming (MILP) enume...
Matteo Fischetti, Domenico Salvagnin
ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 4 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby