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ICML
2000
IEEE
15 years 10 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
CIT
2004
Springer
15 years 1 months ago
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Jae-Hong Eom, Byoung-Tak Zhang
IDA
2000
Springer
14 years 9 months ago
From machine learning to knowledge discovery: Survey of preprocessing and postprocessing
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
Ivan Bruha
DIAGRAMS
2004
Springer
15 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
CORR
2004
Springer
140views Education» more  CORR 2004»
14 years 9 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...