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96
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BMCBI
2008
93views more  BMCBI 2008»
15 years 1 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
113
Voted
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 1 months ago
Data Reduction in Intrusion Alert Correlation
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
Gianni Tedesco, Uwe Aickelin
105
Voted
JAIR
2002
106views more  JAIR 2002»
15 years 24 days ago
Collective Intelligence, Data Routing and Braess' Paradox
We consider the problem of designing the the utility functions of the utility-maximizing agents in a multi-agent system (MAS) so that they work synergistically to maximize a globa...
David Wolpert, Kagan Tumer
183
Voted
HAIS
2011
Springer
14 years 4 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
98
Voted
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 7 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone