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» Extremal Problems of Information Combining
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SIGIR
2004
ACM
14 years 2 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
MM
2005
ACM
167views Multimedia» more  MM 2005»
14 years 2 months ago
Evaluation axes for medical image retrieval systems: the imageCLEF experience
Content–based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being ...
Henning Müller, Paul Clough, William R. Hersh...
ALT
2006
Springer
14 years 1 months ago
Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring
In this paper the sequential prediction problem with expert advice is considered when the loss is unbounded under partial monitoring scenarios. We deal with a wide class of the par...
Chamy Allenberg, Peter Auer, László ...
KER
2007
90views more  KER 2007»
13 years 9 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
WINE
2007
Springer
166views Economy» more  WINE 2007»
14 years 3 months ago
Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games
We present a computational approach to the saddle-point formulation for the Nash equilibria of two-person, zero-sum sequential games of imperfect information. The algorithm is a ...
Andrew Gilpin, Samid Hoda, Javier Peña, Tuo...