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» Induction of Oblique Decision Trees
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ECML
2001
Springer
14 years 1 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
14 years 19 days 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»
14 years 5 days 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
14 years 4 days 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
IJCAI
2003
13 years 10 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...