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ICML
2003
IEEE
16 years 7 months ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario
ALT
2001
Springer
16 years 3 months ago
Learning by Switching Type of Information
The present work is dedicated to the study of modes of data-presentation in the range between text and informant within the framework of inductive inference. In this study, the le...
Sanjay Jain, Frank Stephan
ICALT
2006
IEEE
16 years 15 days ago
A Semi-Automatic Tool using Ontology to Extract Learning Objects
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the...
Bich-Liên Doan, Yolaine Bourda, Vasile Dumit...
MLDM
2005
Springer
15 years 12 months ago
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures
This paper uses a set of 3D geometric measures with the purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, t...
Aristófanes Corrêa Silva, Valdeci Rib...
ICML
2000
IEEE
15 years 10 months ago
Mutual Information in Learning Feature Transformations
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual inf...
Kari Torkkola, William M. Campbell