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130
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ICML
2006
IEEE
16 years 4 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
114
Voted
ICML
2005
IEEE
16 years 4 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
134
Voted
ICML
1996
IEEE
16 years 4 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
141
Voted
ICSE
2008
IEEE-ACM
16 years 4 months ago
A case study evaluation of maintainability and performance of persistency techniques
Efforts for software evolution supersede any other part of the software life cycle. Technological decisions have a major impact on the maintainability, but are not well reflected ...
Thomas Goldschmidt, Ralf Reussner, Jochen Winzen
ISBI
2002
IEEE
16 years 4 months ago
Deformable m-rep segmentation of object complexes
While we have previously reported on multiscale segmentation of single-figure anatomic objects from medical images by deformable m-rep models, here we report on a method of segmen...
P. Thomas Fletcher, Stephen M. Pizer, A. Graham Ga...
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