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SOFSEM
2001
Springer
14 years 1 days ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
WSDM
2009
ACM
187views Data Mining» more  WSDM 2009»
14 years 2 months ago
Speeding up algorithms on compressed web graphs
A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
Chinmay Karande, Kumar Chellapilla, Reid Andersen
FOCS
1999
IEEE
13 years 12 months ago
A Probabilistic Algorithm for k-SAT and Constraint Satisfaction Problems
We present a simple probabilistic algorithm for solving kSAT, and more generally, for solving constraint satisfaction problems (CSP). The algorithm follows a simple localsearch pa...
Uwe Schöning
CVPR
2011
IEEE
12 years 11 months ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...
SIAMCOMP
1998
96views more  SIAMCOMP 1998»
13 years 7 months ago
Fault-Tolerant Computation in the Full Information Model
We initiate an investigation of general fault-tolerant distributed computation in the full-information model. In the full information model no restrictions are made on the computat...
Oded Goldreich, Shafi Goldwasser, Nathan Linial