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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 10 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
AAAI
2007
15 years 9 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash
CISIS
2007
IEEE
15 years 8 months ago
Task Decomposition and Delegation Algorithms for Coordinating Unstructured Multi Agent Systems
This paper describes the initial PhD research work for developing an innovative process for agent coordination in unstructured distributed environments. In this proposal, an agent...
António Luis Lopes, Luís Miguel Bote...
JPDC
2006
175views more  JPDC 2006»
15 years 6 months ago
Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines
Virtualization provides a vehicle to manage the available resources and enhance their utilization in network computing. System dynamics requires virtual machines be distributed an...
Song Fu, Cheng-Zhong Xu
AAMAS
2002
Springer
15 years 6 months ago
Multiagent Learning for Open Systems: A Study in Opponent Classification
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
Michael Rovatsos, Gerhard Weiß, Marco Wolf
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