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ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 4 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
SEAL
2010
Springer
15 years 3 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
166
Voted
CIKM
2008
Springer
15 years 6 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
ARTMED
2006
75views more  ARTMED 2006»
15 years 4 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
CORR
2002
Springer
91views Education» more  CORR 2002»
15 years 4 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney