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JMLR
2008
94views more  JMLR 2008»
13 years 7 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 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
JPDC
2010
137views more  JPDC 2010»
13 years 5 months ago
Parallel exact inference on the Cell Broadband Engine processor
—We present the design and implementation of a parallel exact inference algorithm on the Cell Broadband Engine (Cell BE). Exact inference is a key problem in exploring probabilis...
Yinglong Xia, Viktor K. Prasanna
ICCD
2005
IEEE
137views Hardware» more  ICCD 2005»
14 years 4 months ago
Ripple-Precharge TCAM A Low-Power Solution for Network Search Engines
A novel low power ripple-precharge Ternary CAM (RPTCAM) architecture is proposed for applicationsin longest prefix matching tasks. The main motivation behind this research is to ...
Deepak S. Vijayasarathi, Mehrdad Nourani, Mohammad...
CVPR
2007
IEEE
14 years 9 months ago
Learning GMRF Structures for Spatial Priors
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
Lie Gu, Eric P. Xing, Takeo Kanade