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TNN
2010
234views Management» more  TNN 2010»
14 years 9 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
COCO
2001
Springer
149views Algorithms» more  COCO 2001»
15 years 6 months ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
ACE
2004
163views Education» more  ACE 2004»
15 years 3 months ago
Adventure Cycles A Software Engineering Approach
In this paper we discuss using a case study to demonstrate the software engineering process from requirements, specification, preliminary user manual, prototyping, design, impleme...
John Paynter, Emma Sharkey
BMCBI
2010
109views more  BMCBI 2010»
15 years 2 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...