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ALT
2010
Springer
14 years 11 months ago
Learning without Coding
Abstract. Iterative learning is a model of language learning from positive data, due to Wiehagen. When compared to a learner in Gold's original model of language learning from...
Samuel E. Moelius, Sandra Zilles
ESANN
2008
14 years 11 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
ML
2008
ACM
14 years 10 months ago
Large margin vs. large volume in transductive learning
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...
Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik
ML
2006
ACM
148views Machine Learning» more  ML 2006»
14 years 10 months ago
Melodic analysis with segment classes
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
Darrell Conklin
CTW
2002
91views more  CTW 2002»
14 years 9 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth