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ICANN
2009
Springer
15 years 9 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
NIPS
2000
15 years 6 months ago
Position Variance, Recurrence and Perceptual Learning
Stimulus arrays are inevitably presented at different positions on the retina in visual tasks, even those that nominally require fixation. In particular, this applies to many perc...
Zhaoping Li, Peter Dayan
115
Voted
WEBNET
1998
15 years 6 months ago
PLATINUM: Worldwide Distributed Courseware Production, Learning and Training using MTS
: This paper presents the modular training system MTS, the PLATINUM1 -Net, a worldwide network for innovative learning and advanced training, and distributed collaborative training...
Christoph Hornung, L. Miguel Encarnaç&atild...
142
Voted
JMLR
2006
131views more  JMLR 2006»
15 years 4 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 4 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...