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Fuzzy Sets and Systems 161 (2010) 412-432 Elsevier www.elsevier.com/locate/fss A Categorical Semantics for Fuzzy Predicate Logic

does not satisfy (EP), because for x = 0.3, y = 0.5 and z = 0.5 we get I (x, I (y, z)) = 0.7 = 0.5 = I (y, I (x, z)). The corrected last two rows are provided in Table 1 here. In both of these cases the natural negation NI is the classical negation NC(x) = 1 − x. One can easily check that the first function satisfies (I1) and it does not satisfy (EP), because for x = 0.3, y = 1 and z = 0, we ge...

In this work we solve an open problem of U.Höhle [Problem 11, Fuzzy Sets and Systems 145 (2004) 471-479]. We show that the solution gives a characterization of all conditionally cancellative t-subnorms. Further, we give an equivalence condition for a conditionally cancellativite t-subnorm to be a t-norm and hence show that conditionally cancellativite t-subnorms whose natural negations are stro...

This paper describes the systems developed by the LIG laboratory for the 2010 IWSLT evaluation. We participated to the AE BTEC task and to the new TALK task. For AE BTEC task we developed two different systems: a statistical phrase-based system and a hierarchical phrasebased system using the Moses toolkit. The combination of these systems, which improves the results on different development set...

The pharmacovigilance databases consist of several case reports involving drugs and adverse events (AEs). Some methods are applied consistently to highlight all signals, i.e. all statistically significant associations between a drug and an AE. These methods are appropriate for verification of more complex relationships involving one or several drug(s) and AE(s) (e.g; syndromes or interactions) ...

Although the variable selection and regularization procedures have been extensively considered in literature for quantile regression (QR) scenario via penalization, many such fail to deal with data aberrations design space, namely, high leverage points (X-space outliers) collinearity challenges simultaneously. Some referred as influential observations tend adversely alter eigenstructure of matr...

Visual defect detection is a key technology in modern industrial manufacturing systems. There are many possible appearances of product defects, including distortions color, shape, contamination, missing or superfluous parts. For the those, besides traditional image processing techniques, convolutional neural networks based methods have also appeared to avoid usage hand-crafted features and buil...