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» Learning and Generalization with the Information Bottleneck
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EWCBR
2008
Springer
14 years 11 months ago
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
David B. Leake, Jay H. Powell
RECSYS
2009
ACM
15 years 4 months ago
Learning to recommend helpful hotel reviews
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...
Michael P. O'Mahony, Barry Smyth
COOPIS
2003
IEEE
15 years 3 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
IUI
2011
ACM
14 years 24 days ago
Continuous marking menus for learning cursive pen-based gestures
In this paper, we present a new type of Marking menus. Continuous Marking Menus are specifically dedicated to penbased interfaces, and designed to define a set of cursive, reali...
Adrien Delaye, Rafik Sekkal, Éric Anquetil
ICML
2010
IEEE
14 years 11 months ago
Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
Vinod Nair, Geoffrey E. Hinton