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» Planning with predictive state representations
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AGENTS
2001
Springer
15 years 6 months ago
Monitoring deployed agent teams
Recent years are seeing an increasing need for on-line monitoring of deployed distributed teams of cooperating agents, e.g., for visualization, or performance tracking. However, i...
Gal A. Kaminka, David V. Pynadath, Milind Tambe
KR
2004
Springer
15 years 6 months ago
Evidence and Belief
We discuss the representation of knowledge and of belief from the viewpoint of decision theory. While the Bayesian approach enjoys general-purpose applicability and axiomatic foun...
Itzhak Gilboa, David Schmeidler
SIGMETRICS
2004
ACM
105views Hardware» more  SIGMETRICS 2004»
15 years 7 months ago
A model of BGP routing for network engineering
The performance of IP networks depends on a wide variety of dynamic conditions. Traffic shifts, equipment failures, planned maintenance, and topology changes in other parts of th...
Nick Feamster, Jared Winick, Jennifer Rexford
AI
2006
Springer
15 years 1 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
BMCBI
2004
208views more  BMCBI 2004»
15 years 1 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein