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HAIS
2009
Springer
15 years 4 months ago
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...
Diego M. Escalante, Miguel Angel Rodriguez, Antoni...
UAI
2000
15 years 1 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
72
Voted
IJCAI
2007
15 years 1 months ago
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation
Semantic systems for the representation of declarative knowledge are usually unconnected to neurobiological mechanisms in the brain. In this paper we report on efforts to bridge t...
Florian Röhrbein, Julian Eggert, Edgar Kö...
ICCBR
2005
Springer
15 years 5 months ago
Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks
Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items whe...
Conor Hayes, Paolo Avesani, Emiliano Baldo, Padrai...
DEXAW
2006
IEEE
153views Database» more  DEXAW 2006»
15 years 6 months ago
Capturing and Using the Operational Semantics of Large Distributed Systems: Sharing Common Application Requirements in Virtual O
Organisations may wish to use a standards-defined distributed system in a global sense but also have a requirement for non-standard local behaviour. This reflects the production...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...