نتایج جستجو برای: probabilistic performance evaluation

تعداد نتایج: 1824031  

Journal: :Perform. Eval. 2015
Paolo Ballarini Benoît Barbot Marie Duflot Serge Haddad Nihal Pekergin

We introduce the Hybrid Automata Stochastic Language (HASL), a new temporal logic formalism for the verification of Discrete Event Stochastic Processes (DESP). HASL employs a Linear Hybrid Automaton (LHA) to select prefixes of relevant execution paths of a DESP. LHA allows rather elaborate information to be collected on-the-fly during path selection, providing the user with powerful means to ex...

Journal: :Vibration 2021

Footbridges are generally slender and lightweight structures with low stiffness, designed to support dynamic loads generated by crowds. Therefore, these exposed vibration problems related the resonance of human walking step frequencies lower modes. To mitigate problems, one most applied corrective strategies is installation tuned mass damper (TMD) systems that aim at reduction footbridge’s domi...

1998
Mario Bravetti Marco Bernardo Roberto Gorrieri

We present a process algebra for the performance modeling and evaluation of concurrent systems whose activity durations are expressed through general probability distributions. We first determine the class of generalized semi-Markov processes (GSMPs) as being the class of stochastic processes on which we must rely for performance evaluation to be possible. Then we argue that in this context the...

Journal: :CoRR 2015
Frank Lingelbach

Probabilistic Cell Decomposition (PCD) is a probabilistic path planning method combining the concepts of approximate cell decomposition with probabilistic sampling. It has been shown that the use of lazy evaluation techniques and supervised sampling in important areas result in a high performance path planning method. Even if it was postulated before that PCD is probabilistically complete, we p...

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2018

2004
Andres Madsen

As real-world Bayesian networks continue to grow larger and more complex, it is important to investigate the possibilities for improving the performance of existing algorithms of probabilistic inference. Motivated by examples, we investigate the dependency of the performance of Lazy propagation on the message computation algorithm. We show how Symbolic Probabilistic Inference (SPI) and Arc-Reve...

2005
Hiroko Nakanishi Yusuke Miyao Jun'ichi Tsujii

We describe probabilistic models for a chart generator based on HPSG. Within the research field of parsing with lexicalized grammars such as HPSG, recent developments have achieved efficient estimation of probabilistic models and high-speed parsing guided by probabilistic models. The focus of this paper is to show that two essential techniques – model estimation on packed parse forests and beam...

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