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» Induction of Oblique Decision Trees
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ECML
2001
Springer
15 years 4 months ago
A Framework for Learning Rules from Multiple Instance Data
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
Yann Chevaleyre, Jean-Daniel Zucker
AIME
2009
Springer
15 years 3 months ago
The Role of Biomedical Dataset in Classification
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
Ajay Kumar Tanwani, Muddassar Farooq
WFLP
2000
Springer
148views Algorithms» more  WFLP 2000»
15 years 3 months ago
The Use of Functional and Logic Languages in Machine Learning
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
Peter A. Flach
CKEC
1991
15 years 3 months ago
Case-Based Reasoning and Model-Based Knowledge Acquisition
We propose in this paper a general framework for integrating inductive and case-based reasoning techniques for diagnosis tasks. We present a set of practical integrated approaches...
Dietmar Janetzko, Gerhard Strube
91
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IJCAI
2003
15 years 1 months ago
Inducing criteria for lexicalization parts of speech using the Cyc KB
We present an approach for learning part-of-speech distinctions by induction over the lexicon of the Cyc knowledge base. This produces good results (74.6%) using a decision tree t...
Tom O'Hara, Michael J. Witbrock, Bjørn Alda...