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» Boosting Methods for Regression
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AAAI
2008
15 years 1 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
AAAI
2008
15 years 1 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
AUSAI
2006
Springer
15 years 1 months ago
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinfo
The SVM based Recursive Feature Elimination (RFE-SVM) algorithm is a popular technique for feature selection, used in natural language processing and bioinformatics. Recently it wa...
Justin Bedo, Conrad Sanderson, Adam Kowalczyk
DAC
2005
ACM
15 years 1 months ago
Smart diagnostics for configurable processor verification
This paper describes a novel technique called Embedded Test-bench Control (ETC), extensively used in the verification of Tensilica’s latest configurable processor. Conventional ...
Sadik Ezer, Scott Johnson
BCS
2008
15 years 23 days ago
Tools for Traceable Security Verification
Dependable systems evolution has been identified by the UK Computing Research Committee (UKCRC) as one of the current grand challenges for computer science. We present work toward...
Jan Jürjens, Yijun Yu, Andreas Bauer 0002