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» Hybrid Soft Computing: Where are we Going
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CP
2001
Springer
14 years 1 days ago
Random 3-SAT and BDDs: The Plot Thickens Further
Abstract. This paper contains an experimental study of the impact of the construction strategy of reduced, ordered binary decision diagrams (ROBDDs) on the average-case computation...
Alfonso San Miguel Aguirre, Moshe Y. Vardi
VC
2008
169views more  VC 2008»
13 years 7 months ago
Adaptive particles for incompressible fluid simulation
Abstract We propose a particle-based technique for simulating incompressible fluid that includes adaptive refinement of particle sampling. Each particle represents a mass of fluid ...
Woosuck Hong, Donald H. House, John Keyser
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
13 years 11 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
IEEEPACT
2006
IEEE
14 years 1 months ago
Self-checking instructions: reducing instruction redundancy for concurrent error detection
With reducing feature size, increasing chip capacity, and increasing clock speed, microprocessors are becoming increasingly susceptible to transient (soft) errors. Redundant multi...
Sumeet Kumar, Aneesh Aggarwal
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 10 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray