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» Learning operational requirements from goal models
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CPAIOR
2009
Springer
14 years 2 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
PDP
2003
IEEE
14 years 1 months ago
A multi-tiered agent-based architecture for a cooperative learning environment
: In this paper the problem of educational resource management in a cooperative learning environment is discussed. A task model was elaborated to determine both functional and leve...
Eduardo Sánchez Vila, Manuel Lama, Ricardo ...
MMS
2006
13 years 8 months ago
Support vector machine active learning for music retrieval
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper describes a system for performing flexible music similarit...
Michael I. Mandel, Graham E. Poliner, Daniel P. W....
VLDB
2001
ACM
190views Database» more  VLDB 2001»
14 years 18 days ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
PODS
2009
ACM
112views Database» more  PODS 2009»
14 years 8 months ago
Optimal sampling from sliding windows
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...