SCAI
2008
13 years 6 months ago
2008
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very im...
LREC
2008
13 years 6 months ago
2008
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
ESANN
2008
13 years 6 months ago
2008
This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
EDM
2008
13 years 6 months ago
2008
As part of an ongoing project where SWoRD, a Web-based reciprocal peer review system, is used to support disciplinary writing, this study reports machine learning classifications o...
AIPRF
2008
13 years 6 months ago
2008
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
GECCO
2010
Springer
13 years 7 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
AVBPA
2001
Springer
13 years 8 months ago
2001
Springer
Abstract. We report about some experiments on the fingerprint database NIST-4 using different combinations of Support Vector Machine (SVM) classifiers. Images have been preprocesse...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
COMPLIFE
2006
Springer
13 years 8 months ago
2006
Springer
The ability to locate promoters within a section of DNA is known to be a very difficult and very important task in DNA analysis. We document an approach that incorporates the conce...
AUSDM
2006
Springer
13 years 8 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...