union and intersection
Improving in Silico Prediction of Epitope Vaccine Candidates by Union and Intersection of Single Predictors
... Due to the high resource implications of experimental testing, when scanning a large proteome high numbers of false positives present a greater problem than high num- bers of false negatives. Taking into account only the ...
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Likelihood ratio tests and intersection-union tests
... Abstract. The likelihood ratio test (LRT) method is a commonly used method of hypothesis test construction. The intersection-union test (IUT) method is a less commonly used method. We will explore some ...
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Approximating Private Set Union/Intersection Cardinality with Logarithmic Complexity
... the intersection/union cardinality directly to one or all ...The union cardinality that represents the number of friends is only a feature to be used in finding such ...
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Bioequivalence trials, intersection-union tests, and equivalence confidence sets
... The TOST is unusual in that two size- tests are combined to form a size- test. Often, when multiple tests are combined, some adjustment must be made to the sizes of the individual tests to achieve an overall size- test. ...
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An elementary introduction to intuitionistic fuzzy soft graph
... The basic notions of intuitionistic fuzzy soft graph, order, size, strong intuitionistic fuzzy soft graph,union and intersection of them has been explained with illustration which has wider application in ...
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Vol 9, No 4 (2018)
... soft union, intersection, the complement of a fuzzy soft set, De Morgan Laws ...soft union and intersection and proved De Morgan Inclusions and De Morgan Laws in Fuzzy Soft Set ...
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Vol 2, No 10 (2011)
... of union and intersection of two fuzzy sets over the same universe initiated by ...of union and intersection of an arbitrary class of fuzzy sets taken over an arbitrary class of universes ...
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Vol 3, No 2 (2012)
... soft union, intersection, complement of a fuzzy soft set, De Morgan’s Law ...soft union and intersection and proved De Morgan’s Inclusions and De Morgan’s Laws in Fuzzy Soft Set ...
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Vol 7, No 10 (2016)
... Biswas.R, Fuzzy fields and fuzzy linear spaces redefined, Fuzzy sets and systems, (1989) North Holland.. Chakrabarty, K., Biswas, R., Nanda, A note on union and intersection of Intuition[r] ...
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Privacy Preserving Matching Using Bloom Filters: an Analysis and an Encrypted Variant
... Figure 3: Two Bloom filter brute force attack precision against the intersection of all filter data sets when evaluating against union of elements for different false positive rates give[r] ...
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Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient
... COCO: Common objects in context; DC: Dice ’ s coefficient; FCN: Fully convolutional network; FPN: Feature pyramid network; IOU: Intersection over union; IV2RA: InceptionV2-Residual Netwo[r] ...
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Neutrosophic Soft Expert Sets
... an application of this concept in decision-making problem. They also studied a mapping on fuzzy soft expert classes and its properties. Our objective is to introduce the concept of neutrosophic soft expert set. In ...
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Vol 9, No 1 (2018)
... In recent times, researchers have contributed a lot towards fuzzification of soft set theory. Maji et al. [4] combined fuzzy sets with soft sets and introduced the concept of fuzzy soft sets along with some properties ...
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Labeled directed graphs and FSA as classifiers of strings
... for union, intersection, and product, it has been represented as a union of two subclasses G a and G b such that G a is closed under intersection and left derivative, and G b is closed under ...
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Privacy-preserving Judgment of the Intersection for Convex Polygons
... In former applications, people always collect the polygons information together and solve it by a trust third party (TTP). But the demand of privacy makes it hard to find such an agency trusted by both partners. Each ...
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Fuzzy Strongly G*-Super Closed Sets and Fuzzy \delta g*-Super Closed Sets Gaussian Quadrature Rule
... Let X be a non-empty set and I= [0,1]. A fuzzy set on X is a mapping from X in to I. The null fuzzy set 0 is the mapping from X in to I which assumes only the value is 0 and whole fuzzy sets 1 is a mapping from X on to I ...
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fastLASSO: Variable Selection in Kernel Machine Modeling for Cross Disorder Analysis
... Figure 2: True positive and false positive rates for cross disorder (CD), the union of single disorder (SD-U), and the intersection of single disorder (SD-I) continuous trait kernel mach[r] ...
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Recognition of inlet wet food in drying process through a deep learning approach
... Recognition of inlet wet food into drying process through a deep learning approach EuroDrying’2019 - Politecnico di Torino, Italy – July 10-12, 2019.. Intersection over Union IoU > 99%.[r] ...
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Operations on Hesitant Fuzzy Hypergraph
... Abstract : The concept of hypergraphs was extended to fuzzy hypergraph. In this paper, we extend the concepts of fuzzy hypergraphs into that of hesitant fuzzy hypergraphs. Based on the definition of hesitant fuzzy graph, ...
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Convex Structures in Normed Spaces
... that intersection of any family of convex sets is convex, even though the intersection may be ...under intersection and union of sets totally ordered under ...
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