نتایج جستجو برای: logic regression

تعداد نتایج: 465700  

2014
Hichem Debbi

The counterexample in probabilistic model checking (PMC) is a set of paths in which a path formula holds, and their accumulated probability violates the probability bound. However, understanding the counterexample is not an easy task. In this paper we address the complementary task of counterexample generation, which is the counterexample analysis. We propose an aided-diagnostic method for prob...

Journal: :Journal of Indian and Buddhist Studies (Indogaku Bukkyogaku Kenkyu) 2014

2008
Ryan F. Kelly Adrian R. Pearce

We develop a formal account of complex group-level epistemic modalities in the situation calculus, with a particular focus on reasoning about common knowledge. Expressions involving common knowledge cannot be handled by standard regression techniques and are thus difficult to reason about effectively. Taking our cue from recent promising work in dynamic epistemic logic, we overcome this limitat...

Journal: :journal of advances in computer research 0
vahid khodashenas limouni department of electrical engineering, ali abad katoul branch, islamic azad university, ali abad katoul, iran young researchers and elite club, ali abad katoul branch, islamic azad university, ali abad katoul, iran s.asghar gholamian faculty of electrical and computer engineering, babol university of technology, babol, iran mehran taghipour gorjikolaie faculty of electrical engineering, university of birjand, birjand, iran

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

Journal: :Computers & Geosciences 2008
Yan Wang Wei Shen Pengda Zhao

Measurements that describe and summarize quantitative predictions relating to the classification of geological variables and samples derived from geochemical and geophysical data sets are important because of the large amount of information contained in such data. Methods considered in mineral resource quantitative prediction include quantification theory, which is able to deal with data includ...

Journal: :CoRR 2017
Seyed Mehran Kazemi David Poole

Statistical relational AI (StarAI) aims at reasoning and learning in noisy domains described in terms of objects and relationships by combining probability with first-order logic. With huge advances in deep learning in the current years, combining deep networks with first-order logic has been the focus of several recent studies. Many of the existing attempts, however, only focus on relations an...

Journal: :Progress of Theoretical Physics 2006

Journal: :Journal of the Mathematical Society of Japan 1972

2006
Yilan Gu Mikhail Soutchanski

We consider a modified version of the situation calculus built using a two-variable fragment of the first-order logic extended with counting quantifiers. We mention several additional groups of axioms that need to be introduced to capture taxonomic reasoning. We show that the regression operator in this framework can be defined similarly to regression in the Reiter’s version of the situation ca...

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