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SAC
2005
ACM
16 years 20 days ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
APWEB
2005
Springer
16 years 19 days ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
AMAI
2004
Springer
16 years 15 days ago
Improving Exact Algorithms for MAX-2-SAT
We study three new techniques which will speed up the branch-and-bound algorithm for the MAX-2-SAT problem: The first technique is a new lower bound function for the algorithm an...
Haiou Shen, Hantao Zhang
184
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HIPC
2004
Springer
16 years 14 days ago
A Parallel State Assignment Algorithm for Finite State Machines
This paper summarizes the design and implementation of a parallel algorithm for state assignment of large Finite State Machines (FSMs). High performance CAD tools are necessary to...
David A. Bader, Kamesh Madduri
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
16 years 13 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez