Results 151 to 160 of about 169,566 (212)
The structure-preserving spectral graph neural network for dual kinase inhibitors and synergy scoring in gastric cancer. [PDF]
Zhang Y +5 more
europepmc +1 more source
Unveiling scientific articles from paper mills with provenance analysis. [PDF]
Cardenuto JP, Moreira D, Rocha A.
europepmc +1 more source
Understanding COVID-19 vaccine hesitancy of different regions in the post-epidemic era: A causality deep learning approach. [PDF]
Liu Y, Zhao C, Zhang C.
europepmc +1 more source
Semantic approaches for query expansion: taxonomy, challenges, and future research directions. [PDF]
Allahim A, Cherif A, Imine A.
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File compression using probabilistic grammars and LR parsing
Adil M.M. Al-Hussaini
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ACM SIGPLAN Notices, 2006
Here a scheme is presented, which reduces the size of an LR parser. It is accomplished by merging two states, which do not perform differently on the same input symbol or non-terminal. This state merging has following advantages:1. The reduction in number of states is greater than the reduction in an LALR parser.2. The power of parser is not reduced as
Dillip Kumar Lenka, Pawan Kumar
semanticscholar +2 more sources
Here a scheme is presented, which reduces the size of an LR parser. It is accomplished by merging two states, which do not perform differently on the same input symbol or non-terminal. This state merging has following advantages:1. The reduction in number of states is greater than the reduction in an LALR parser.2. The power of parser is not reduced as
Dillip Kumar Lenka, Pawan Kumar
semanticscholar +2 more sources
Embedding semantics in LR parser tables
Software: Practice and Experience, 1978AbstractThis paper addresses two of the problems commonly associated with LR parsing and syntax directed translation schemes, namely grammar stratification and excessively large table size, A solution is discussed which can eliminate stratification of the grammar by allowing the designer to embed semantics directly within the LR table (i.e., at shift ...
W. Gillett, S. Leach
semanticscholar +3 more sources

