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SIAMJO
2010
127views more  SIAMJO 2010»
15 years 1 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
ACIIDS
2012
IEEE
307views Database» more  ACIIDS 2012»
14 years 2 months ago
A Hybrid Evolutionary Imperialist Competitive Algorithm (HEICA)
This paper proposes a new approach by combining the Evolutionary Algorithm and Imperialist Competitive Algorithm. This approach tries to capture several people involved in communit...
Fatemeh Ramezani, Shahriar Lotfi, M. A. Soltani-Sa...
PAMI
1998
107views more  PAMI 1998»
15 years 6 months ago
Graph Matching With a Dual-Step EM Algorithm
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Andrew D. J. Cross, Edwin R. Hancock
MCS
2005
Springer
16 years 7 hour ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
16 years 1 days ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont