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JSW
2007
138views more  JSW 2007»
14 years 9 months ago
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
— The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
Veselina G. Jecheva, Evgeniya P. Nikolova
AAMAS
2002
Springer
14 years 9 months ago
The Implications of Philosophical Foundations for Knowledge Representation and Learning in Agents
Abstract. The purpose of this research is to show the relevance of philosophical theories to agent knowledge base (AKB) design, implementation, and behaviour. We will describe how ...
Nicholas Lacey, Mark Lee
SIGOPS
2010
89views more  SIGOPS 2010»
14 years 8 months ago
Incremental learning of system log formats
System logs come in a large and evolving variety of formats, many of which are semi-structured and/or non-standard. As a consequence, off-the-shelf tools for processing such logs ...
Kenny Qili Zhu, Kathleen Fisher, David Walker
JIDM
2010
90views more  JIDM 2010»
14 years 4 months ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
PADL
2012
Springer
13 years 5 months ago
LearnPADS + + : Incremental Inference of Ad Hoc Data Formats
An ad hoc data source is any semi-structured, non-standard data source. The format of such data sources is often evolving and frequently lacking documentation. Consequently, off-t...
Kenny Qili Zhu, Kathleen Fisher, David Walker