نتایج جستجو برای: fusion rules
تعداد نتایج: 243545 فیلتر نتایج به سال:
Geographic information fusion is the process of integrating geographic information from diverse sources to produce new information with added value, reliability, or usefulness (cf. [14,67]). Geographic information fusion is an important function of interoperable and web-based GIS. Increased reliance on distributed web-based access to geographic information is correspondingly increasing the need...
Aiming at the shortcomings of traditional "support-confidence" association rules mining framework and problems negative rules, concept interestingness measure is introduced. Analyzed advantages disadvantages some commonly used measures present, combined cosine on basis model based difference idea, proposed a new model. The can effectively express relationship between antecedent subsequent part ...
We compute the modular properties of the possible genus-one characters of some Rational Conformal Field Theories starting from their fusion rules. We show that the possible choices of S matrices are indexed by some automorphisms of the fusion algebra. We also classify the modular invariant partition functions of these theories. This gives the complete list of modular invariant partition functio...
Using different sources of information for grammar induction results in grammars that vary in coverage and precision. Fusing such grammars with a strategy that exploits their strengths while minimizing their weaknesses is expected to produce grammars with superior performance. We focus on the fusion of grammars produced using a knowledge-based approach using lexicalized ontologies and a data-dr...
Purpose:Characterization of an approach to identify leukemia neoantigens arising in the context of drug
In the past decade, several rules for fusion of pattern classifiers’ outputs have been proposed. Although imbalanced classifiers, that is, classifiers exhibiting very different accuracy, are used in many practical applications (e.g., multimodal biometrics for personal identity verification), the conditions of classifiers’ imbalance under which a given rule can significantly outperform another o...
Data fusion under the belief function framework has attracted the interest of many researchers over the past few years. Until now, many combination rules have been proposed in order to aggregate beliefs induced form dependent or independent information sources. Although the choice of the most appropriate rule among several alternatives is crucial, it still requires non-trivial effort. In this i...
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