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» Parsimonious relevance models
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NIPS
2003
15 years 3 months ago
Perspectives on Sparse Bayesian Learning
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
SIGIR
2010
ACM
15 years 2 months ago
Estimating interference in the QPRP for subtopic retrieval
The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interdependent document relevance when ranking. However, to be instantiated, the QPRP...
Guido Zuccon, Leif Azzopardi, Claudia Hauff, Keith...
CGF
1999
81views more  CGF 1999»
15 years 1 months ago
Multi-layered impostors for accelerated rendering
This paper describes the successful combination of pre-generated and dynamically updated image-based representations to accelerate the visualization of complex virtual environment...
Xavier Décoret, François X. Sillion,...
ICASSP
2011
IEEE
14 years 5 months ago
Robust parametrization for non-destructive evaluation of composites using ultrasonic signals
Anticipating and characterizing damages in layered carbon fiberreinforced polymers is a challenging problem. Non-destructive evaluation using ultrasonic signals is a well-establi...
Nicolas Bochud, Angel M. Gomez, Guillermo Rus, Jos...
ICLP
2010
Springer
15 years 5 months ago
Tight Semantics for Logic Programs
We define the Tight Semantics (TS), a new semantics for all NLPs complying with the requirements of: 2-valued semantics; preserving the models of SM; guarantee of model existence...
Luís Moniz Pereira, Alexandre Miguel Pinto