14 results for “rule generation”

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Research ArticleOpen accessIn the abstractMachine Translation of Noun Phrases from Arabic to English Using Transfer-Based ApproachOmar Shirko, Nazlia Omar, Haslina Arshad, Mohammed AlbaredProblem statement: Any Arabic to English Machine Translation (MT) system should be capable of dealing with word order which Arabic exhibits. This poses a significant challenge to MT due to the vast number of ways to express the same sentence in Arabic. The ordering features are very important and should be carefully applied to ensure the generation of sentence in … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 8,413 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSelf-Generation ART-1 Neural Network with Gradient-Descent Method Aid for Latin Alphabet RecognitionMbaïtiga ZacharieProblem statement: In this study a self-generation ART-1 neural network that is an efficient algorithm that emulates the self-organizing pattern recognition developed to avoid the stability-plasticity dilemma in competitive networks learning, is presented for Latin alphabet recognition to use in a vision system for road sings recognition. Approach: The first step of our approach deals with the training process where … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,566 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparison of Probability Curves Obtained from 2 Quantitative Allergen-specific IgE Assays: FEIA and 3gAllergyTMT. M. Li, T. Chuang, S. M. Li, D. Hovanec-BurnsThe validity and benefit of probability curves in allergen-specific IgE (sIgE) testing and their applicability to more than a few allergens are still pending. One study[1] presented probability curves for 4 food allergens and proposed decision points to rule out the need for food challenges in his clinic. Since then, such cutoffs were reported by Boyano-Martinez[2] to be dependent on … …American Journal of Immunology, Vol. 1, Issue 2 · 30 Jun 2005 · 6,737 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA COMBINTORIAL TREE BASED FREQUENT PATTERN MININGN. Yamuna Devi, J. Devi ShreeFrequent pattern mining is a process of extracting frequently occurring itemset patterns from very large data storages. These frequent patterns are used to generate association rules which define the relationship among items. The strength of the relationship can be measured using two different units namely support value and confidence level. Any relationship that satisfies minimum threshold of support value is … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,804 accessesView PDF Cite