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Titlebook: Static Analysis; First International Baudouin Charlier Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Abstract Interpr

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Conference proceedings 1994ceedings comprise 25 full refereed papers selected from 70 submissions as well as four invited contributions by Charles Consel, Saumya K. Debray, Thomas W. Getzinger, and Nicolas Halbwachs. The papers address static analysis aspects for various programming paradigms and cover the following topics: g
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Boolean functions for dependency analysis: Algebraic properties and efficient representation,ams (ROBDDs), disjunctive normal form, conjunctive normal form, Blake canonical form, dual Blake canonical form, and a form specific to definite functions. We give an empirical comparison of these different representations for groundness analysis.
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Deriving polymorphic type dependencies for logic programs using multiple incarnations of Prop,carnation of Prop. We illustrate the use of a semantics for open logic programs in maintaining space efficient analyses. Time efficiency is also maintained due to approximation of the type domain in a boolean lattice calling on results of universal algebra.
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Extracting Non-strict independent and-parallelism using sharing and freeness information, parallelism. The approach is based on the knowledge of certain properties regarding the run-time instantiations of program variables —sharing and freeness— for which compile-time technology is available, with new approaches being currently proposed.
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0302-9743 4..The proceedings comprise 25 full refereed papers selected from 70 submissions as well as four invited contributions by Charles Consel, Saumya K. Debray, Thomas W. Getzinger, and Nicolas Halbwachs. The papers address static analysis aspects for various programming paradigms and cover the following
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Deep Belief Networks (DBNs)m CD-k are able to attain deep learning of objects. A robust learning adaptive size method is presented. Moreover, a GPU parallel implementation yields high speedups as compared to conventional implementations. Results in benchmark data sets are presented as well as further discussion of these model
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Real-Time News Grouping: Detecting the Same-Content News on Turkish News Streamstering approach only with embeddings. The system proposed in these study has a structure that can be used in real life applications in terms of real-time clustering with a high F-score rate of over 90%.
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Who Cares About Climate Change ?,other environmental issues of concern to Australians. We ask to what extent Australians believe that climate change is occurring, and what they think causes it. We show how a range of social and political background characteristics, and the type of media Australians rely upon for their news and info
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