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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
SIGMETRICS
2008
ACM
140views Hardware» more  SIGMETRICS 2008»
13 years 10 months ago
Scalable VPN routing via relaying
Enterprise customers are increasingly adopting MPLS (Multiprotocol Label Switching) VPN (Virtual Private Network) service that offers direct any-to-any reachability among the cust...
Changhoon Kim, Alexandre Gerber, Carsten Lund, Dan...
ICLP
1999
Springer
14 years 2 months ago
Logic Programming in Oz with Mozart
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A multiparadigm language is designed to support different programming paradigms (log...
Peter Van Roy
WWW
2008
ACM
14 years 10 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
ATAL
2007
Springer
14 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone