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ICANN
2009
Springer
14 years 2 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
IJCAI
2003
13 years 11 months ago
Querying Distributed Data through Distributed Ontologies: A Simple but Scalable Approach
In this paper, we define a simple but scalable framework for peer-to-peer data sharing systems, in which the problem of answering queries over a network of semantically related p...
François Goasdoué, Marie-Christine R...
PE
2006
Springer
125views Optimization» more  PE 2006»
13 years 10 months ago
Approximating multi-skill blocking systems by HyperExponential Decomposition
We consider multi-class blocking systems in which jobs require a single processing step. There are groups of servers that can each serve a different subset of all job classes. The...
Geert Jan Franx, Ger Koole, Auke Pot
TNN
2008
114views more  TNN 2008»
13 years 10 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
PAMI
2002
112views more  PAMI 2002»
13 years 9 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton