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Machine-learning prediction of urine-culture positivity in a multicentre test-ordered cohort: Model development and internal validation. [PDF]
BJUI CompassAbstract Objectives This study aim to develop, compare and internally validate machine‐learning models for predicting urine‐culture positivity in patients who had both urinalysis and culture ordered and to explore descriptive probability strata. Post hoc secondary analyses examined age subgroups, the incremental contribution of text‐derived features ...
Wasfy IS +14 more
europepmc +2 more sources
A Drop-in Replacement for LR(1) Table-Driven Parsing
Advances in Computing and Engineering, 2021 This paper presents a construction method for a deterministic one-symbol look-ahead LR parser which allows non-terminals in the parser look-ahead. This effectively relaxes the requirement of parsing the reverse of the right-most derivation of a string ...
Michael Oudshoorn
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Mathematics, 2022 The limitations of traditional parsing architecture are well known. Even when paired with parsing methods that accept all context-free grammars (CFGs), the resulting combination for any given CFG accepts only a limited subset of corresponding character ...
Žiga Leber +3 more
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On Parsing Programming Languages with Turing-Complete Parser
Mathematics, 2023 A new parsing method based on the semi-Thue system is described. Similar to, but with more efficient implementation than Markov normal algorithms, it can be used for parsing any recursively enumerable language.
Boštjan Slivnik, Marjan Mernik
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Sensors, 2022 With the recent increase in intelligent CCTVs for visual surveillance, a new image degradation that integrates resolution conversion and synthetic rain models is required.
Chang-Hwan Son, Da-Hee Jeong
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Speeding up Generalized PSR Parsers by Memoization Techniques [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 Predictive shift-reduce (PSR) parsing for hyperedge replacement (HR) grammars is very efficient, but restricted to a subclass of unambiguous HR grammars.
Mark Minas
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An Approach for Plant Leaf Image Segmentation Based on YOLOV8 and the Improved DEEPLABV3+
Plants, 2023 Accurate plant leaf image segmentation provides an effective basis for automatic leaf area estimation, species identification, and plant disease and pest monitoring.
Tingting Yang +4 more
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Algorithms, 2016 LR parsing is a popular parsing strategy for variants of Context-Free Grammar (CFG). It has also been used for mildly context-sensitive formalisms, such as Tree-Adjoining Grammar.
Laura Kallmeyer, Wolfgang Maier
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Tolerant parsing using modified LR(1) and LL(1) algorithms with embedded “Any” symbol
Труды Института системного программирования РАН, 2019 Tolerant parsing is a form of syntax analysis aimed at capturing the structure of certain points of interest presented in a source code. While these points should be well-described in a tolerant grammar of the language, other parts of the program are ...
Alexey Valerievitch Goloveshkin
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Enhancing the LR Parsing Strategy Using Incremental GPLR Parsing Method
مجلة علوم ذي قار, 2019 Parsers in modern integrated development environments (IDEs) for generalpurpose languages are virtually all of ad hoc, recursive descent variety. While such parsers have many disadvantages when compared with machine-generated LALR(1) parsers but they ...
Mouiad Abid Hani +1 more
doaj +4 more sources