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» Approximation Algorithms for Temporal Reasoning
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ICCBR
2003
Springer
15 years 9 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
ILP
2001
Springer
15 years 9 months ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
ICSM
2005
IEEE
15 years 10 months ago
Comparison of Clustering Algorithms in the Context of Software Evolution
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
Jingwei Wu, Ahmed E. Hassan, Richard C. Holt
COLING
2008
15 years 6 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
AAAI
2008
15 years 7 months ago
A Scalable Jointree Algorithm for Diagnosability
Diagnosability is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. An unobservable fault event in...
Anika Schumann, Jinbo Huang