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ICML
2007
IEEE
14 years 9 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
SCAI
2008
13 years 10 months ago
Modeling Habituation in the Cnidarian Hydra
Abstract. In the design of behavior-based control architectures for robots it is common to use biology as inspiration, and often the observed functionalities of insect behaviors ar...
Malin Aktius, Mats Nordahl, Tom Ziemke
ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 8 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
COLCOM
2008
IEEE
13 years 10 months ago
Mashup Model and Verification Using Mashup Processing Network
Abstract. Mashups are defined to be lightweight Web applications aggregating data from different Web services, built using ad-hoc composition and being not concerned with long term...
Ehtesham Zahoor, Olivier Perrin, Claude Godart