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» Distributed solving through model splitting
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CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 9 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
COMCOM
2008
120views more  COMCOM 2008»
13 years 10 months ago
Game theoretic models for detecting network intrusions
In this paper, we study using game theory the problem of detecting intrusions in wired infrastructure networks. Detection is accomplished by sampling a subset of the transmitted p...
Hadi Otrok, Mona Mehrandish, Chadi Assi, Mourad De...
MAAMAW
1994
Springer
14 years 1 months ago
Towards a Theory of Cooperative Problem Solving
One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented ...
Michael Wooldridge, Nicholas R. Jennings
SEMWEB
2007
Springer
14 years 3 months ago
An Architecture for Peer-to-peer Reasoning
Abstract. Similar to the current Web, the key to realizing the Semantic Web is scale. Arguably, to achieve this, we need a good balance between participation cost and perceived ben...
George Anadiotis, Spyros Kotoulas, Ronny Siebes
COLCOM
2005
IEEE
14 years 3 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...