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ATAL
2007
Springer
16 years 24 days ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
RTSS
2007
IEEE
16 years 27 days ago
An Energy-Driven Design Methodology for Distributing DSP Applications across Wireless Sensor Networks
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
CEEMAS
2005
Springer
16 years 5 days ago
On Communication in Solving Distributed Constraint Satisfaction Problems
Abstract. Distributed Constraint Satisfaction Problems (DCSP) is a general framework for multi-agent coordination and conflict resolution. In most DCSP algorithms, inter-agent com...
Hyuckchul Jung, Milind Tambe
ICC
2009
IEEE
154views Communications» more  ICC 2009»
16 years 1 months ago
Load Balancing vs. Distributed Rate Limiting: An Unifying Framework for Cloud Control
— With the expansion of cloud-based services, the question as to how to control usage of such large distributed systems has become increasingly important. Load balancing (LB), an...
Rade Stanojevic, Robert Shorten