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ECIR
2010
Springer
15 years 8 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
DGO
2007
133views Education» more  DGO 2007»
15 years 8 months ago
A toolbox for the choice of indicator classes for ranking of watersheds
There has been considerable work on determining a suitable method to accomplish a satisfactory ordering of a group of objects, when there are multiple evaluation criteria. A weigh...
K. Sham Bhat
LREC
2010
206views Education» more  LREC 2010»
15 years 8 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
AAAI
2006
15 years 8 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
IADIS
2004
15 years 8 months ago
A Study on Mobile Game Adoption Under HPI(High-Speed Portable Internet) Environment
Mobile game is considered as one of the emerging mobile services in recent years. A number of mobile game companies have been established and on-line game providers have also atte...
Young Seog Yoon, Im Sook Há, Mun Kee Choi
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