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ECML
2007
Springer
14 years 1 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ICWS
2009
IEEE
13 years 5 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
SAC
2005
ACM
14 years 1 months ago
A multi-agent approach for solving optimization problems involving expensive resources
In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserabl...
Hoong Chuin Lau, Hui Wang
ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
13 years 12 months ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr
TMI
1998
97views more  TMI 1998»
13 years 7 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...