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» Kolmogorov Complexity and Model Selection
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BMCBI
2011
13 years 1 months ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
EMNLP
2008
13 years 11 months ago
Understanding the Value of Features for Coreference Resolution
In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic...
Eric Bengtson, Dan Roth
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
DATE
2009
IEEE
168views Hardware» more  DATE 2009»
14 years 4 months ago
Selective state retention design using symbolic simulation
Abstract—Addressing both standby and active power is a major challenge in developing System-on-Chip designs for batterypowered products. Powering off sections of logic or memorie...
Ashish Darbari, Bashir M. Al-Hashimi, David Flynn,...
PPOPP
1999
ACM
14 years 2 months ago
Automatic Node Selection for High Performance Applications on Networks
A central problem in executing performance critical parallel and distributed applications on shared networks is the selection of computation nodes and communication paths for exec...
Jaspal Subhlok, Peter Lieu, Bruce Lowekamp