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CKEC
1991
15 years 4 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
ICMLC
2005
Springer
15 years 6 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
102
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FLAIRS
2006
15 years 1 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
UM
2001
Springer
15 years 4 months ago
Applying Interactive Open Learner Models to Learning Technical Terminology
Our work explores an interactive open learner modelling (IOLM) approach where learner diagnosis is considered as an interactive process involving both a computer system and a learn...
Vania Dimitrova, John A. Self, Paul Brna
126
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IFIP12
2008
15 years 1 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...