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NIPS
2007
15 years 8 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
SNPD
2008
15 years 8 months ago
Dynamic Data Feed to Bayesian Network Model and SMILE Web Application
A complete diagnostic Bayesian network model cannot be achieved and the result of the constructed model cannot be guaranteed unless correct and reliable data are provided to the m...
Nipat Jongsawat, Pittaya Poompuang, Wichian Premch...
SODA
2007
ACM
145views Algorithms» more  SODA 2007»
15 years 8 months ago
Aggregation of partial rankings, p-ratings and top-m lists
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...
Nir Ailon
AAAI
2004
15 years 8 months ago
Low-Knowledge Algorithm Control
This paper addresses the question of allocating computational resources among a set of algorithms in order to achieve the best performance on a scheduling problem instance. Our pr...
Tom Carchrae, J. Christopher Beck
AAAI
2006
15 years 8 months ago
Explicit Passive Analysis in Electronic Catalogs
We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We first analyze how such systems can help users in the framework ...
David Portabella Clotet, Martin Rajman