نتایج جستجو برای: full implication inference algorithm
تعداد نتایج: 1133328 فیلتر نتایج به سال:
Implication problems occur in many areas of computer science. Examples include, of course, logic, but also database systems (constraints), data mining (association rules), and reasoning under uncertainty (conditional independence). We provide a general framework for implication problems based on the observation that many can be reduced to an implication problem for additive constraints on speci...
This paper deals with the problem of searching basic properties for robust implication operators in fuzzy control. We use the word “robust” in the sense of good average behavior in different applications and in combination with different defuzzification methods. We study the behavior of the two main families of implication operators in the fuzzy control inference process. These two families are...
Uncovering effective relations from non-invasive functional neuroimaging data remains challenging because the physical truth does not match the modelling assumptions often made by causal models. Here, we explore the use of causal Probabilistic Graphical Models for decoding the effective connectivity from functional optical neuroimaging. Our hypothesis is that directions of arcs of the connectiv...
An important field of probability logic is the investigation of inference rules that propagate point probabilities or, more generally, interval probabilities from premises to conclusions. Conditional probability logic (CPL) interprets the common sense expressions of the form “if . . . , then . . . ” by conditional probabilities and not by the probability of the material implication. An inferenc...
When a logical system is specified and the notion of a derivation or formal proof is explained, we are told (i) which formulas can be used to start a derivation and (ii) which formulas can be derived given that certain other formulas have already been derived. Formulas of the sort (i) are either assumptions or axioms, formulas of the sort (ii) are conclusions of (proper) inference rules. Axioms...
We introduce a multivariate stochastic volatility model that imposes no restrictions on the structure of matrix and treats all its elements as functions latent processes. Inference is achieved via carefully designed feasible scalable MCMC has quadratic, rather than cubic, computational complexity for evaluating normal densities required. illustrate how our can be applied macroeconomic applicati...
In Madagascar, Newcastle disease (ND) has become enzootic after the first documented epizootics in 1946, with recurrent annual outbreaks causing mortality up to 40%. Four ND viruses recently isolated in Madagascar were genotypically and pathotypically characterised. By phylogenetic inference based on the F and HN genes, and also full-genome sequence analyses, the NDV Malagasy isolates form a cl...
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