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» Evaluating the Robustness of Learning from Implicit Feedback
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ECAI
2000
Springer
14 years 2 hour ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
ACL
1998
13 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...
ITS
2010
Springer
155views Multimedia» more  ITS 2010»
14 years 13 days ago
Generating Proactive Feedback to Help Students Stay on Track
In a tutoring system based on an exploratory environment, it is also important to provide direct guidance to students. We endowed iList, our linked list tutor, with the ability to ...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
VR
2007
IEEE
14 years 1 months ago
Designing and Evaluating a Haptic System for Biomolecular Education
In this paper we present an in situ evaluation of a haptic system, with a representative test population, we aim to determine what, if any, benefit haptics can have in a biomolec...
Petter Bivall Persson, Matthew D. Cooper, Lena A. ...
COLCOM
2005
IEEE
14 years 1 months ago
An experimental evaluation of spam filter performance and robustness against attack
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
Steve Webb, Subramanyam Chitti, Calton Pu