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ACL
1998
15 years 9 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...
FLAIRS
2007
15 years 10 months ago
An Argumentation Based Approach to Multi-Agent Learning
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
Santiago Ontañón, Enric Plaza
ICMLA
2007
15 years 9 months ago
Machine learned regression for abductive DNA sequencing
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
David Thornley, Maxim Zverev, Stavros Petridis
FLAIRS
2004
15 years 9 months ago
Using Previous Experience for Learning Planning Control Knowledge
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained...
Susana Fernández, Ricardo Aler, Daniel Borr...
IADIS
2004
15 years 9 months ago
Addressing the Effective Use of Learning Objects Through Teacher Education
This paper describes the development and evaluation of a curriculum designed to help teachers learn about and integrate digital library functionalities and learning objects into t...
Mimi Recker