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» Enterprise modeling using class and instance models
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NAACL
2003
15 years 6 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
JWSR
2008
99views more  JWSR 2008»
15 years 4 months ago
A Reservation-based Extended Transaction Protocol for Coordination of Web Services
: Web Services can be used to automate business activities that span multiple enterprises over the Internet. Such business activities require a coordination protocol to reach consi...
Wenbing Zhao, Firat Kart, Louise E. Moser, P. M. M...
ICANN
2007
Springer
15 years 10 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
133
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BMCBI
2006
159views more  BMCBI 2006»
15 years 4 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
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