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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
15 years 9 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
111
Voted
HICSS
1995
IEEE
110views Biometrics» more  HICSS 1995»
15 years 6 months ago
Reliability analysis of CSP specifications using Petri nets and Markov processes
In our research we are developing methodologiesand tools to permit stochastic analyses of CSP-based system specifications. In this regard, we have been developing morphismsbetween...
Krishna M. Kavi, Frederick T. Sheldon, Behrooz Shi...
ACL
2007
15 years 4 months ago
Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
JSW
2007
118views more  JSW 2007»
15 years 2 months ago
A New Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets
— Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A clas...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
FMCO
2009
Springer
161views Formal Methods» more  FMCO 2009»
15 years 22 days ago
The How and Why of Interactive Markov Chains
This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
Holger Hermanns, Joost-Pieter Katoen