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ICML
2008
IEEE
16 years 5 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
ICML
2005
IEEE
16 years 5 months ago
Predicting relative performance of classifiers from samples
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
Rui Leite, Pavel Brazdil
ISBI
2004
IEEE
16 years 5 months ago
Optimal Variable-Density k-Space Sampling in MRI
Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, ...
Jin Hyung Lee, Dwight G. Nishimura, Brad Osgood
LION
2009
Springer
210views Optimization» more  LION 2009»
15 years 11 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...
ICC
2007
IEEE
156views Communications» more  ICC 2007»
15 years 11 months ago
A Sampling Data Stream Algorithm For Wireless Sensor Networks
Abstract— This work presents a sampling data stream algorithm for wireless sensor networks (WSNs). The proposed algorithm is based on sampling techniques applied to data histogra...
André L. L. de Aquino, Carlos Mauricio S. F...