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WMTE
2005
IEEE
15 years 10 months ago
Supporting Pervasive Learning Environments: Adaptability and Context Awareness in Mobile Learning
In the mobile learning context, it is helpful to consider context awareness and adaptivity as two sides of the same coin. The purpose of the adaptivity and context awareness is to...
Antti Syvänen, Russell Beale, Mike Sharples, ...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 11 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
COLT
2003
Springer
15 years 10 months ago
Learning with Equivalence Constraints and the Relation to Multiclass Learning
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
Aharon Bar-Hillel, Daphna Weinshall
CEC
2008
IEEE
15 years 6 months ago
Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
Nils T. Siebel, Gerald Sommer
ACL
1998
15 years 6 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...