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» Efficient Algorithms for General Active Learning
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TEC
2008
98views more  TEC 2008»
13 years 8 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 9 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
SAS
1994
Springer
136views Formal Methods» more  SAS 1994»
14 years 1 months ago
Constraint-Based Type Inference and Parametric Polymorphism
Constraint-based analysis is a technique for inferring implementation types. Traditionally it has been described using mathematical formalisms. We explain it in a different and mor...
Ole Agesen
EMMCVPR
2005
Springer
14 years 2 months ago
Increasing Efficiency of SVM by Adaptively Penalizing Outliers
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
Yiqiang Zhan, Dinggang Shen
DCOSS
2008
Springer
13 years 10 months ago
Efficient Node Discovery in Mobile Wireless Sensor Networks
Energy is one of the most crucial aspects in real deployments of mobile sensor networks. As a result of scarce resources, the duration of most real deployments can be limited to ju...
Vladimir Dyo, Cecilia Mascolo