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» Generating Predicate Rules from Neural Networks
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JMLR
2010
140views more  JMLR 2010»
15 years 20 days ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
ICANN
2007
Springer
16 years 23 hour ago
Selection of Decision Stumps in Bagging Ensembles
Abstract. This article presents a comprehensive study of different ensemble pruning techniques applied to a bagging ensemble composed of decision stumps. Six different ensemble p...
Gonzalo Martínez-Muñoz, Daniel Hern&...
ECAI
2008
Springer
15 years 7 months ago
Intelligent adaptive monitoring for cardiac surveillance
Monitoring patients in intensive care units is a critical task. Simple condition detection is generally insufficient to diagnose a patient and may generate many false alarms to the...
Lucie Callens, Guy Carrault, Marie-Odile Cordier, ...
ISMIS
2003
Springer
15 years 11 months ago
Logic for Multi-path Message Forwarding Networks for Mobile Agents
We discuss how mobile agents, moving in the Internet from node to node, can communicate with each other by forwarding messages in a robust way. As a solution, we present the genera...
Masahito Kurihara, Masanobu Numazawa
ARC
2009
Springer
140views Hardware» more  ARC 2009»
16 years 20 days ago
FPGA-Based Anomalous Trajectory Detection Using SOFM
A system for automatically classifying the trajectory of a moving object in a scene as usual or suspicious is presented. The system uses an unsupervised neural network (Self Organi...
Kofi Appiah, Andrew Hunter, Tino Kluge, Philip Aik...