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IJCNN
2006
IEEE
14 years 2 months ago
A Heuristic for Free Parameter Optimization with Support Vector Machines
— A heuristic is proposed to address free parameter selection for Support Vector Machines, with the goals of improving generalization performance and providing greater insensitiv...
Matthew Boardman, Thomas P. Trappenberg
PLDI
1999
ACM
14 years 1 months ago
An Evaluation of Staged Run-Time Optimizations in DyC
Previous selective dynamic compilation systems have demonstrated that dynamic compilation can achieve performance improvements at low cost on small kernels, but they have had diff...
Brian Grant, Matthai Philipose, Markus Mock, Craig...
GLOBECOM
2009
IEEE
14 years 20 days ago
Relay Selection and Data Transmission Throughput Tradeoff in Cooperative Systems
A common and practical paradigm in cooperative communications is the use of a dynamically selected 'best' relay to decode and forward information from a source to a dest...
Virag Shah, Neelesh B. Mehta, Raymond Yim
PAA
2008
13 years 8 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
ICCV
2003
IEEE
14 years 10 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua