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» Rademacher Margin Complexity
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UAI
2003
13 years 8 months ago
On Information Regularization
We formulate a principle for classification with the knowledge of the marginal distribution over the data points (unlabeled data). The principle is cast in terms of Tikhonov styl...
Adrian Corduneanu, Tommi Jaakkola
FTML
2008
185views more  FTML 2008»
13 years 7 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
SIGMETRICS
2010
ACM
103views Hardware» more  SIGMETRICS 2010»
13 years 2 months ago
VM power metering: feasibility and challenges
This paper explores the feasibility of and challenges in developing methods for black-box monitoring of a VM's power usage at runtime, on shared virtualized compute platforms...
Bhavani Krishnan, Hrishikesh Amur, Ada Gavrilovska...
BMCBI
2011
13 years 2 months ago
Pathway-based analysis using reduced gene subsets in genome-wide association studies
Background: Single Nucleotide Polymorphism (SNP) analysis only captures a small proportion of associated genetic variants in Genome-Wide Association Studies (GWAS) partly due to s...
Jingyuan Zhao, Simone Gupta, Mark Seielstad, Jianj...
JCB
2008
159views more  JCB 2008»
13 years 7 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther