Sciweavers

6042 search results - page 58 / 1209
» Repeated Observation Models
Sort
View
ACSD
2005
IEEE
71views Hardware» more  ACSD 2005»
15 years 9 months ago
Two-Phase Distributed Observation Problems
We introduce and study problems of distributed observation with bounded or unbounded memory. We are given a system modeled as a finite-word language L over some finite alphabet ...
Stavros Tripakis
AAAI
2008
15 years 6 months ago
Computing Observation Vectors for Max-Fault Min-Cardinality Diagnoses
Model-Based Diagnosis (MBD) typically focuses on diagnoses, minimal under some minimality criterion, e.g., the minimal-cardinality set of faulty components that explain an observa...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
IJCAI
2007
15 years 5 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
UAI
1998
15 years 5 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
JAIR
2000
152views more  JAIR 2000»
15 years 3 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht