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» Top-k learning to rank: labeling, ranking and evaluation
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ECML
2003
Springer
15 years 2 months ago
Improving the AUC of Probabilistic Estimation Trees
Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
César Ferri, Peter A. Flach, José He...
75
Voted
ACL
2006
14 years 11 months ago
Chinese-English Term Translation Mining Based on Semantic Prediction
Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information r...
Gaolin Fang, Hao Yu, Fumihito Nishino
CIDM
2009
IEEE
15 years 4 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
116
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WAIM
2009
Springer
15 years 4 months ago
Personalized Delivery of On-Line Search Advertisement Based on User Interests
Search engine advertising has become the main stream of online advertising system. In current search engine advertising systems, all users will get the same advertisement rank if t...
Guangyi Xiao, Zhiguo Gong
SIGIR
2005
ACM
15 years 3 months ago
Surrogate scoring for improved metasearch precision
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...