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FATES
2003
Springer
14 years 3 months ago
Towards a Tool Environment for Model-Based Testing with AsmL
We present work on a tool environment for model-based testing with the Abstract State Machine Language (AsmL). Our environment supports semiautomatic parameter generation, call seq...
Michael Barnett, Wolfgang Grieskamp, Lev Nachmanso...
CIA
2001
Springer
14 years 2 months ago
Wizard of Oz Method for Learning Dialog Agents
This paper describes a framework to construct interface agents with example dialogs based on the tasks by the machine learning technology. The Wizard of Oz method is used to collec...
Masayuki Okamoto, Yeonsoo Yang, Toru Ishida
COLT
1994
Springer
14 years 2 months ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter
FMCAD
2000
Springer
14 years 1 months ago
Checking Safety Properties Using Induction and a SAT-Solver
We take a fresh look at the problem of how to check safety properties of finite state machines. We are particularly interested in checking safety properties with the help of a SAT-...
Mary Sheeran, Satnam Singh, Gunnar Stålmarck
DM
2007
98views more  DM 2007»
13 years 10 months ago
p-adic valuations and k-regular sequences
A sequence is said to be k-automatic if the nth term of this sequence is generated by a finite state machine with n in base k as input. Regular sequences were first defined by ...
Jason P. Bell