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Titlebook: Logic-Based Program Synthesis and Transformation; 23rd International S Gopal Gupta,Ricardo Pe?a Conference proceedings 2014 Springer Intern

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書目名稱Logic-Based Program Synthesis and Transformation
副標(biāo)題23rd International S
編輯Gopal Gupta,Ricardo Pe?a
視頻videohttp://file.papertrans.cn/589/588102/588102.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Logic-Based Program Synthesis and Transformation; 23rd International S Gopal Gupta,Ricardo Pe?a Conference proceedings 2014 Springer Intern
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 23rd International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2013, held in Madrid, Spain, in September 2013..The 13 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 21 submissions during two rounds of reviewing and improvement. LOPSTR traditionally solicits papers in the areas of specification, synthesis, verification, transformation, analysis, optimization, composition, security, reuse, applications and tools, component-based software development, software architectures, agent-based software development, and program refinement..
出版日期Conference proceedings 2014
關(guān)鍵詞Alternating Automata; Answer Set Programming; Constraint Logic Programming; Declarative Debugging; Forma
版次1
doihttps://doi.org/10.1007/978-3-319-14125-1
isbn_softcover978-3-319-14124-4
isbn_ebook978-3-319-14125-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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aspect is frequently overlooked. For instance, most prior studies use the Euclidean distance measure without explicitly stating the consequences of selecting such measure. To address this issue, we perform a comparative and explorative study on the performance of various existing proximity measures
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Jesús Aransay,Jose Divasónaspect is frequently overlooked. For instance, most prior studies use the Euclidean distance measure without explicitly stating the consequences of selecting such measure. To address this issue, we perform a comparative and explorative study on the performance of various existing proximity measures
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Bernhard Beckert,Daniel Bruns,Vladimir Klebanov,Christoph Scheben,Peter H. Schmitt,Mattias Ulbrichalysis features, we prepared two datasets and applied data mining algorithms to generate classification rules. Essential features are identified by applying Weka’s J48 decision tree classifier to 1103 software samples, 582 malware and 521 benign, collected from the Internet. The performance of all c
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Elvira Albert,Samir Genaim,Raúl Gutiérrezcture of the central atom shows an interesting overlap. The main features of our approach lie in the combination of state-of-the-art techniques from Natural Language Processing (NLP), Clustering and Graph Theory to develop a system and a methodology adapted to uncovering hidden sub-structures from t
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