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» Linear programming with online learning
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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 8 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
133
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WWW
2009
ACM
16 years 3 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
105
Voted
SIGUCCS
2000
ACM
15 years 7 months ago
Training... A Key to Better Help Desk Consultants
The quality of student consultants and their development through training and education are major factors in determining long-term effectiveness of university Help Desk. To hire a...
Anna Maria Perez, Andrea J. Moore
134
Voted
ESANN
2004
15 years 4 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
135
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CGO
2007
IEEE
15 years 9 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...