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ICML
1994
IEEE
14 years 23 days ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
FLAIRS
2008
13 years 11 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
ICONIP
1998
13 years 10 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
EDUTAINMENT
2007
Springer
14 years 3 months ago
UML in Action: Integrating Formal Methods in Industrial Design Education
When designing product behavior, the designer often needs to communicate to experts in computer software and protocols. In present-day software engineering, formal specification m...
Jun Hu, Philip Ross, Loe M. G. Feijs, Yuechen Qian
ICIP
2005
IEEE
14 years 11 months ago
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity disc...
Attila Licsár, László Cz&uacu...