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» Advanced High Performance Algorithms for Data Processing
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ICML
2002
IEEE
16 years 7 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich
193
Voted
WCNC
2008
IEEE
16 years 1 months ago
Estimation of Link Quality and Residual Time in Vehicular Ad Hoc Networks
—High node mobility and transient connectivity in Vehicular Ad Hoc NETworks have introduced numerous challenges in the design of efficient communication protocols for these netwo...
Nikoletta Sofra, Kin K. Leung
204
Voted
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 11 days ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
175
Voted
ECML
2007
Springer
16 years 1 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
ICMLA
2008
15 years 8 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...