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126
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ICML
2006
IEEE
16 years 3 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
LCPC
2009
Springer
15 years 7 months ago
A Balanced Approach to Application Performance Tuning
Abstract. Current hardware trends place increasing pressure on programmers and tools to optimize scientific code. Numerous tools and techniques exist, but no single tool is a pana...
Souad Koliai, Stéphane Zuckerman, Emmanuel ...
117
Voted
IPPS
2000
IEEE
15 years 7 months ago
Scalable Parallel Matrix Multiplication on Distributed Memory Parallel Computers
Consider any known sequential algorithm for matrix multiplication over an arbitrary ring with time complexity ON , where 2  3. We show that such an algorithm can be parallelize...
Keqin Li
160
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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
ALGORITHMICA
2006
77views more  ALGORITHMICA 2006»
15 years 2 months ago
Scalable Parallel Algorithms for FPT Problems
Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems o...
Faisal N. Abu-Khzam, Michael A. Langston, Pushkar ...