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» A Probability Model for Combining Ranks
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NIPS
2008
15 years 5 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 4 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
RECSYS
2009
ACM
15 years 10 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
Benjamin M. Marlin, Richard S. Zemel
115
Voted
ACL
2010
15 years 1 months ago
Contextualizing Semantic Representations Using Syntactically Enriched Vector Models
We present a syntactically enriched vector model that supports the computation of contextualized semantic representations in a quasi compositional fashion. It employs a systematic...
Stefan Thater, Hagen Fürstenau, Manfred Pinka...
SIGIR
2003
ACM
15 years 9 months ago
Combining document representations for known-item search
This paper investigates the pre-conditions for successful combination of document representations formed from structural markup for the task of known-item search. As this task is ...
Paul Ogilvie, James P. Callan