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AAAI
2012
11 years 9 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ISLPED
2010
ACM
206views Hardware» more  ISLPED 2010»
13 years 7 months ago
Energy efficient implementation of parallel CMOS multipliers with improved compressors
Booth encoding is believed to yield faster multiplier designs with higher energy consumption. 16x16-bit Booth and NonBooth multipliers are analyzed in energy and delay space under...
Dursun Baran, Mustafa Aktan, Vojin G. Oklobdzija
CVPR
2004
IEEE
14 years 9 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
UAI
2003
13 years 8 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel
PAKDD
2007
ACM
166views Data Mining» more  PAKDD 2007»
14 years 1 months ago
gPrune: A Constraint Pushing Framework for Graph Pattern Mining
In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu