AI Aptitude Questions In this tutorial, we will learn about the probability theory probabilistic reasoning while dealing with Uncertainty. We will study what probability theory is, how an agent implements probabilistic reasoning in its decision making and we will also study how this theory solves the...
Towards Developing Probabilistic Generative Models for Reasoning with Natural Language Representations - Marcu, Popescu - 2005Marcu, D. and Popescu, A.M. (2005). Towards Developing Probabilistic Generative Models for Reasoning with Natural Language Representations. In the Proceedings of the 6th Interna-...
In possession of a precise syntax and semantics for probabilistic causal reasoning, questions of axiomatiza- tion naturally arise. That is, we would like to identify a perspicuous set of basic principles that underly all such reasoning. One of our main technical contributions is a series of ...
Nonmonotonic reasoning, conditional objects and possibility theory Artificial Intelligence, 92 (1–2) (1997), pp. 259-276 View PDFView articleView in ScopusGoogle Scholar [8] S. Benferhat, D. Dubois, H. Prade Possibilistic and standard probabilistic semantics of conditional knowledge bases Journal...
This paper proposes a Bayesian network (BN) model for reasoning under uncertainty for the assessment of accidental cargo oil outflow in a ship–ship collision where a product tanker is struck. The BN combines a model linking impact scenarios to damage extent with a model for estimating the ...
That kind of reasoning holds for systems of arbitrary dimension, from which Eq. (10) is obviously independent. Thus, looking for an optimal process involving a d-dimensional system we have to slightly modify the procedure described in the main text although the structure remains the same. ...
Fuzzy reasoning with probabilistic preference sets Mathematical operations on probabilistic preferences Applications of probabilistic preference theory in healthcare, management, economics, engineering, big data analytics and AI Editors Lead Editor Zeshui Xu1 ...
rev2.pdf)和“Towards common-sense reasoning via conditional simulation: legacies of Turing in ...
Modeling and Reasoning with Bayesian Networks Cambridge University Press (2009), 10.1017/cbo9780511811357 Google Scholar [39] Miller J.W., Harrison M.T. A simple example of Dirichlet process mixture inconsistency for the number of components Burges C., Bottou L., Welling M., Ghahramani Z., Wei...
Ground settlement resulting from shield tunnelling in densely populated areas has a significant impact on the surrounding environment, while accurate prediction of max ground settlement (MGS) is challenging under uncertain construction conditions. This paper investigates the vine copula probabilistic dependence...