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» A kernel-based causal learning algorithm
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UAI
2008
13 years 6 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 3 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
COLCOM
2005
IEEE
13 years 11 months ago
Distributed floor control protocols for computer collaborative applications on overlay networks
— Computer supported collaborative applications on overlay networks are gaining popularity among users who are geographically dispersed. Examples of these kinds of applications i...
Shankar M. Banik, Sridhar Radhakrishnan, Tao Zheng...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 9 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
IDA
2006
Springer
13 years 5 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...