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» On Non-Approximability for Quadratic Programs
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ICNC
2005
Springer
14 years 1 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
ROCAI
2004
Springer
14 years 1 months ago
Optimizing Area Under Roc Curve with SVMs
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
Alain Rakotomamonjy
VECPAR
2004
Springer
14 years 1 months ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
CGO
2003
IEEE
14 years 1 months ago
Addressing Mode Selection
Many processor architectures provide a set of addressing modes in their address generation units. For example DSPs (digital signal processors) have powerful addressing modes for e...
Erik Eckstein, Bernhard Scholz
ISPD
2003
ACM
171views Hardware» more  ISPD 2003»
14 years 1 months ago
Timing driven force directed placement with physical net constraints
This paper presents a new timing driven force directed placement algorithm that meets physical net length constraints as well as constraints on specific pin sets. It is the first ...
Karthik Rajagopal, Tal Shaked, Yegna Parasuram, Tu...