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NN
2006
Springer
120views Neural Networks» more  NN 2006»
13 years 8 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
IJCAI
1993
13 years 10 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
TSE
2010
151views more  TSE 2010»
13 years 7 months ago
The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
George K. Baah, Andy Podgurski, Mary Jean Harrold
SOICT
2010
13 years 3 months ago
Constraint-based local search for solving non-simple paths problems on graphs: application to the routing for network covering p
Routing problems have been considered as central problems in the fields of transportation, distribution and logistics. LS(Graph) is a generic framework allowing to model and solve...
Pham Quang Dung, Phan-Thuan Do, Yves Deville, Tuon...
ADAEUROPE
2001
Springer
14 years 1 months ago
Testing from Formal Specifications, a Generic Approach
Deriving test cases from specifications is now recognised as a major application of formal methods to software development. Several methods have been proposed for various formalism...
Marie-Claude Gaudel