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» A Portfolio Approach to Algorithm Selection
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156
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ICASSP
2009
IEEE
15 years 10 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
129
Voted
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
15 years 10 months ago
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
— This paper presents a distributed version of our previous work, called SAFDetection, which is a sensor analysisbased fault detection approach that is used to monitor tightlycou...
Xingyan Li, Lynne E. Parker
PR
2007
96views more  PR 2007»
15 years 3 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
156
Voted
BMCBI
2011
14 years 7 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
122
Voted
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 9 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.