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JMLR
2008
114views more  JMLR 2008»
15 years 4 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
JSW
2008
167views more  JSW 2008»
15 years 4 months ago
An Approach to Discover Dependencies between Service Operations
Service composition is emerging as an important paradigm for constructing distributed applications by combining and reusing independently developed component services. One key issu...
Shuying Yan, Jing Wang 0002, Chen Liu, Lei Liu
ENVSOFT
2007
258views more  ENVSOFT 2007»
15 years 4 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton
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PR
2008
88views more  PR 2008»
15 years 4 months ago
Modified global k
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
Adil M. Bagirov
SIAMJO
2008
114views more  SIAMJO 2008»
15 years 4 months ago
An Inexact SQP Method for Equality Constrained Optimization
We present an algorithm for large-scale equality constrained optimization. The method is based on a characterization of inexact sequential quadratic programming (SQP) steps that ca...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
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