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JMLR
2010
82views more  JMLR 2010»
14 years 10 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
152
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HYBRID
2001
Springer
15 years 8 months ago
Accurate Event Detection for Simulating Hybrid Systems
It has been observed that there are a variety of situations in which the most popular hybrid simulation methods can fail to properly detect the occurrence of discrete events. In th...
Joel M. Esposito, Vijay Kumar, George J. Pappas
COGSCI
2004
142views more  COGSCI 2004»
15 years 3 months ago
Characterizing perceptual learning with external noise
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
Jason M. Gold, Allison B. Sekuler, Partrick J. Ben...
MP
2007
76views more  MP 2007»
15 years 3 months ago
Universal duality in conic convex optimization
Given a primal-dual pair of linear programs, it is well known that if their optimal values are viewed as lying on the extended real line, then the duality gap is zero, unless both...
Simon P. Schurr, André L. Tits, Dianne P. O...
123
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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 10 months ago
Multiplicative approximations and the hypervolume indicator
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tobias Friedrich, Christian Horoba, Frank Neumann