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MIDDLEWARE
2009
Springer
15 years 9 months ago
How to Keep Your Head above Water While Detecting Errors
Today’s distributed systems need runtime error detection to catch errors arising from software bugs, hardware errors, or unexpected operating conditions. A prominent class of err...
Ignacio Laguna, Fahad A. Arshad, David M. Grothe, ...
NIPS
2001
15 years 6 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
JCC
2007
131views more  JCC 2007»
15 years 4 months ago
An extended dead-end elimination algorithm to determine gap-free lists of low energy states
: Proteins are flexible systems and commonly populate several functionally important states. To understand protein function, these states and their energies have to be identified...
Edda Kloppmann, G. Matthias Ullmann, Torsten Becke...
ICML
2000
IEEE
16 years 5 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ATAL
2005
Springer
15 years 10 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz