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WWIC
2010
Springer
193views Communications» more  WWIC 2010»
13 years 8 months ago
0day Anomaly Detection Made Possible Thanks to Machine Learning
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
Philippe Owezarski, Johan Mazel, Yann Labit
ICTAI
1992
IEEE
13 years 8 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
GIS
1992
ACM
13 years 8 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
13 years 8 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
ECML
1994
Springer
13 years 8 months ago
Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream
This paperpresents several industrial applications of MLin the context of their effort to solve the "KAMLproblem", i.e., the problem of merging knowledge acquisition and...
Yves Kodratoff
ECAI
2000
Springer
13 years 9 months ago
Learning to Use Operational Advice
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
Johannes Fürnkranz, Bernhard Pfahringer, Herm...
ITS
2010
Springer
115views Multimedia» more  ITS 2010»
13 years 9 months ago
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiï¬...
Joanna Drummond, Diane J. Litman
ICADL
2003
Springer
92views Education» more  ICADL 2003»
13 years 9 months ago
Improving Automatic Labelling through RDF Management
Building a shared and widely accessible repository, in order for scientists and end users to exploit it easily, results in tackling a variety of issues. Among others, the need for ...
Floriana Esposito, Stefano Ferilli, Nicola Di Maur...
COLT
2003
Springer
13 years 9 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
CIKM
2003
Springer
13 years 9 months ago
Lessons from the implementation of an adaptive parts acquisition ePortal
In recent work we have developed a novel approach to the design and implementation of an online portal (ePortal) to help application engineers find replacements for electronic par...
Rafael Alonso, Jeffrey A. Bloom, Hua Li