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» PARAM: A Model Checker for Parametric Markov Models
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ICML
1999
IEEE
14 years 5 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
QEST
2005
IEEE
13 years 10 months ago
iLTLChecker: A Probabilistic Model Checker for Multiple DTMCs
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
YoungMin Kwon, Gul A. Agha
SPIN
2007
Springer
13 years 11 months ago
BEEM: Benchmarks for Explicit Model Checkers
Abstract. We present Beem — BEnchmarks for Explicit Model checkers. This benchmark set includes more than 50 parametrized models (300 concrete instances) together with their corr...
Radek Pelánek
QEST
2009
IEEE
13 years 11 months ago
The Ins and Outs of the Probabilistic Model Checker MRMC
The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions....
Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz...
ECML
2007
Springer
13 years 11 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani