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» Margin based feature selection - theory and algorithms
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CORR
2010
Springer
126views Education» more  CORR 2010»
13 years 7 months ago
Extending scientific computing system with structural quantum programming capabilities
We present the basic high-level structures used for developing quantum programming languages. The presented structures are commonly used in many existing quantum programming langua...
P. Gawron, Jerzy Klamka, J. A. Miszczak, Ryszard W...
CVPR
2009
IEEE
15 years 2 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
DAC
1998
ACM
14 years 8 months ago
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability
Abstract-Our strategy for automatic generation of functional vectors is based on exercising selected paths in the given hardware description language (HDL) model. The HDL model des...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer
GLOBECOM
2008
IEEE
14 years 2 months ago
A Supervised Learning Approach to Adaptation in Practical MIMO-OFDM Wireless Systems
—MIMO-OFDM wireless systems require adaptive modulation and coding based on channel state information (CSI) to maximize throughput in changing wireless channels. Traditional adap...
Robert C. Daniels, Constantine Caramanis, Robert W...
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 8 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...