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CONNECTION
2006
101views more  CONNECTION 2006»
15 years 5 months ago
Learning acceptable windows of contingency
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...
Kevin Gold, Brian Scassellati
TSP
2010
14 years 11 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
IAT
2009
IEEE
15 years 9 months ago
Offline Planning for Communication by Exploiting Structured Interactions in Decentralized MDPs
Variants of the decentralized MDP model focus on problems exhibiting some special structure that makes them easier to solve in practice. Our work is concerned with two main issues...
Hala Mostafa, Victor R. Lesser
126
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KDD
2006
ACM
146views Data Mining» more  KDD 2006»
16 years 5 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
SBP
2012
Springer
14 years 19 days ago
The Impact of Network Structure on the Perturbation Dynamics of a Multi-agent Economic Model
Complex adaptive systems (CAS) modeling has become a common tool to study the behavioral dynamics of agents in a broad range of disciplines from ecology to economics. Many modelers...
Marshall A. Kuypers, Walter E. Beyeler, Robert J. ...