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» Robust ranking models via risk-sensitive optimization
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ICML
2009
IEEE
15 years 10 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
67
Voted
4OR
2005
104views more  4OR 2005»
14 years 9 months ago
The robust shortest path problem with interval data via Benders decomposition
Many real problems can be modelled as robust shortest path problems on digraphs with interval costs, where intervals represent uncertainty about real costs and a robust path is not...
Roberto Montemanni, Luca Maria Gambardella
ECIR
2009
Springer
15 years 6 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
ACSD
2006
IEEE
148views Hardware» more  ACSD 2006»
15 years 3 months ago
Functional Model Exploration for Multimedia Applications via Algebraic Operators
An optimized functional design space exploration method for multimedia applications is proposed. The basis of the method is a way of representing the dependency and the concurrenc...
Shinjiro Kakita, Yosinori Watanabe, Douglas Densmo...
ICDE
2010
IEEE
171views Database» more  ICDE 2010»
15 years 9 months ago
Surrogate Ranking for Very Expensive Similarity Queries
1 We consider the problem of similarity search in applications where the cost of computing the similarity between two records is very expensive, and the similarity measure is not a...
Chris Jermaine, Fei Xu, Mingxi Wu, Ravi Jampani, T...