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» Structure-Preserving Model Reduction
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133
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ICML
2008
IEEE
16 years 3 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
ICCAD
2006
IEEE
107views Hardware» more  ICCAD 2006»
15 years 11 months ago
Decoupling capacitor planning and sizing for noise and leakage reduction
—Decoupling capacitors (decaps) are a popular means for reducing power-supply noise in integrated circuits. Since the decaps are usually inserted in the whitespace of the device ...
Eric Wong, Jacob R. Minz, Sung Kyu Lim
127
Voted
ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
15 years 9 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
105
Voted
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
15 years 9 months ago
A density projection approach to dimension reduction for continuous-state POMDPs
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
ICNC
2005
Springer
15 years 8 months ago
Genetic Algorithms for Thyroid Gland Ultrasound Image Feature Reduction
The problem of automatic classification of ultrasound images is addressed. For texture analysis of ultrasound images quantifiable indexes, called features, are used. Classificat...
Ludvík Tesar, Daniel Smutek, Jan Jiskra