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ICML
2008
IEEE
14 years 8 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
COCO
2010
Springer
153views Algorithms» more  COCO 2010»
13 years 11 months ago
Communication Complexity with Synchronized Clocks
Abstract—We consider two natural extensions of the communication complexity model that are inspired by distributed computing. In both models, two parties are equipped with synchr...
Russell Impagliazzo, Ryan Williams
GLVLSI
2009
IEEE
122views VLSI» more  GLVLSI 2009»
14 years 2 months ago
Enhancing SAT-based sequential depth computation by pruning search space
The sequential depth determines the completeness of bounded model checking in design verification. Recently, a SATbased method is proposed to compute the sequential depth of a de...
Yung-Chih Chen, Chun-Yao Wang
AII
1992
13 years 11 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
FOCS
1999
IEEE
13 years 12 months ago
Boosting and Hard-Core Sets
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...
Adam Klivans, Rocco A. Servedio