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CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
FSS
2010
147views more  FSS 2010»
14 years 8 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
IROS
2007
IEEE
127views Robotics» more  IROS 2007»
15 years 4 months ago
Goal directed navigation with uncertainty in adversary locations
— This paper addresses the problem of planning for goal directed navigation in the environment that contains a number of possible adversary locations. It first shows that common...
Maxim Likhachev, Anthony Stentz
ICALP
2003
Springer
15 years 2 months ago
Anycasting in Adversarial Systems: Routing and Admission Control
Abstract. In this paper we consider the problem of routing packets in dynamically changing networks, using the anycast mode. In anycasting, a packet may have a set of destinations ...
Baruch Awerbuch, André Brinkmann, Christian...