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» Using Machine Learning to Focus Iterative Optimization
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ICAC
2005
IEEE
15 years 8 months ago
PICCIL: Interactive Learning to Support Log File Categorization
Motivated by the real-world application of categorizing system log messages into defined situation categories, this paper describes an interactive text categorization method, PICC...
David Loewenstern, Sheng Ma, Abdi Salahshour
117
Voted
ICML
2003
IEEE
16 years 3 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ALT
2010
Springer
14 years 9 months ago
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
Abstract. The importance of a node in a directed graph can be measured by its PageRank. The PageRank of a node is used in a number of application contexts
Balázs Csanád Csáji, Rapha&eu...
FGCS
2006
135views more  FGCS 2006»
15 years 2 months ago
Scaling applications to massively parallel machines using Projections performance analysis tool
Some of the most challenging applications to parallelize scalably are the ones that present a relatively small amount of computation per iteration. Multiple interacting performanc...
Laxmikant V. Kalé, Gengbin Zheng, Chee Wai ...
121
Voted
ICML
2006
IEEE
16 years 3 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner