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» Machine learning problems from optimization perspective
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ATAL
2006
Springer
15 years 7 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
AIM
2005
15 years 3 months ago
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
Xin Li, Paul Morie, Dan Roth
ICC
2009
IEEE
129views Communications» more  ICC 2009»
15 years 10 months ago
Do Next Generation Networks Need Path Diversity?
—We have currently reached a phase where big shifts in the network traffic might impose to rethink the design of current architectures, and where new technologies, being pushed ...
Luca Muscariello, Diego Perino, Dario Rossi
IDC
2009
Springer
15 years 9 months ago
A Case Study on Availability of Sensor Data in Agent Cooperation
Abstract Multi-agent cooperation can in several cases be used in order to mitigate problems relating to task sharing within physical processes. In this paper we apply agent based s...
Christian Johansson, Fredrik Wernstedt, Paul David...
JMLR
2010
194views more  JMLR 2010»
14 years 10 months ago
A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
Elham Salehi, Jayashree Nyayachavadi, Robin Gras