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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 7 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
NIME
2005
Springer
136views Music» more  NIME 2005»
14 years 1 months ago
Learning Advanced Skills on New Instruments (or practising scales and arpeggios on your NIME)
When learning a classical instrument, people often either take lessons in which an existing body of “technique” is delivered, evolved over generations of performers, or in som...
Sageev Oore
IADIS
2003
13 years 9 months ago
Learning Objects: Are They Serving Practitioners Working with VLES?
The purpose of this paper is to present a high-level discussion based on ongoing research with the aim of providing support to educational practitioners based on real shareability...
Miguel Baptista Nunes, Robert Pasley, Maggie McPhe...
ILP
2004
Springer
14 years 1 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
ICCBR
2005
Springer
14 years 1 months ago
Learning Similarity Measures: A Formal View Based on a Generalized CBR Model
Abstract. Although similarity measures play a crucial role in CBR applications, clear methodologies for defining them have not been developed yet. One approach to simplify the de...
Armin Stahl