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» Reducing the Complexity of Reductions
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ICML
2008
IEEE
16 years 7 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
2003
IEEE
131views Hardware» more  ICCAD 2003»
16 years 3 months ago
LRU-SEQ: A Novel Replacement Policy for Transition Energy Reduction in Instruction Caches
Leakage energy will be the major energy consumer in future deep sub-micron designs. Especially the memory sub-system of future SOCs will be negatively affected by this trend. In o...
Praveen Kalla, Xiaobo Sharon Hu, Jörg Henkel
ISBI
2009
IEEE
16 years 1 months ago
Reduction of Distortions in MRSI Using a New Signal Model
We propose a new reconstruction scheme for magnetic resonance spectroscopic imaging (MRSI) signal based on minimizing the spatial total variation (TV) integrated with the 1 -norm ...
Ramin Eslami, Mathews Jacob
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
16 years 1 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
ICPR
2008
IEEE
16 years 1 months ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng