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ADMI
2010
Springer
15 years 8 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
EMNLP
2008
15 years 8 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney
SERP
2004
15 years 8 months ago
Straightening Spaghetti-Code with Refactoring?
Changes to software systems often entail a loss of quality, especially if they have to be accomplished under pressure of time. Long-term software projects must counter this phenome...
Markus Pizka
UAI
1998
15 years 7 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
IJCAI
1997
15 years 7 months ago
Learning to Improve both Efficiency and Quality of Planning
Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
Tara A. Estlin, Raymond J. Mooney