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NIPS
2003
15 years 5 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
EUROPAR
2011
Springer
14 years 3 months ago
A Bit-Compatible Parallelization for ILU(k) Preconditioning
Abstract. ILU(k) is a commonly used preconditioner for iterative linear solvers for sparse, non-symmetric systems. It is often preferred for the sake of its stability. We present T...
Xin Dong 0004, Gene Cooperman
BMCBI
2006
175views more  BMCBI 2006»
15 years 4 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
CASES
2006
ACM
15 years 7 months ago
Reaching fast code faster: using modeling for efficient software thread integration on a VLIW DSP
When integrating software threads together to boost performance on a processor with instruction-level parallel processing support, it is rarely clear which code regions should be ...
Won So, Alexander G. Dean
SIGIR
2011
ACM
14 years 6 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha