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» Minimization of Error Functionals over Perceptron Networks
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TIT
1998
80views more  TIT 1998»
14 years 9 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
INFOCOM
2010
IEEE
14 years 8 months ago
On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks
—While there has been much progress in designing backpressure based stabilizing algorithms for multihop wireless networks, end-to-end performance (e.g., end-to-end buffer usage) ...
V. J. Venkataramanan, Xiaojun Lin, Lei Ying, Sanja...
NIPS
2003
14 years 11 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
IDA
2005
Springer
15 years 3 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz
AIA
2007
14 years 11 months ago
Optimizing number of hidden neurons in neural networks
In this paper, a novel and effective criterion based on the estimation of the signal-to-noise-ratio figure (SNRF) is proposed to optimize the number of hidden neurons in neural ne...
Yue Liu, Janusz A. Starzyk, Zhen Zhu