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Genetic Neural Architecture Search for automatic assessment of human sperm images
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In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022)
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| 2 |
Application of Modern Digital Systems and Approaches to Business Process Management
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In: Sustainability; Volume 14; Issue 3; Pages: 1697 (2022)
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Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem
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| 5 |
Term ranking adaptation to the domain: genetic algorithm based optimisation of the C-Value
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In: International Conference on Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01972763 ; International Conference on Natural Language Processing, Springer, Jan 2014, Warsaw, Poland (2014)
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2005) Natural Language Syllable Alignment: From Conception to Implementation
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In: http://www.cs.mun.ca/~harold/Papers/NECEC05.pdf (2005)
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| 7 |
Data-Driven Generation of Compact, Accurate, and Linguistically-Sound Fuzzy Classifiers Based on a Decision-Tree Initialization
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In: http://www.fmt.vein.hu/softcomp/Abonyi02_dt2fm1.pdf (2002)
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| 8 |
Learning Phonology: Genetic Algorithms and Yoruba Tongue Root Harmony
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In: History Publications (2000)
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| 9 |
Self-Organizing and Genetic Algorithms for an Automatic Design of Fuzzy Control and Decision Systems
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In: http://ais.gmd.de/~surmann/papers/eufit93.pdf (1993)
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| 10 |
International Journal of Signal Processing, Image Processing and Pattern Recognition 55 Unstructured Document Categorization: A Study
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In: http://www.sersc.org/journals/IJSIP/vol1_no1/papers/07.pdf
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| 11 |
A Framework for Connected Speech Recognition for Thai Language*
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In: http://www.ist.cmu.ac.th/intech/paper/InTech0375.pdf
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| 12 |
Use of a Genetic Algorithm in Brill’s Transformation-Based Part-of-Speech Tagger
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In: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p2067.pdf
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| 13 |
Evolutionary Approach to Natural Language Word Sense Disambiguation through Global Coherence Optimization
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In: http://www.gelbukh.com/cv/Publications/2003/WSD-GA.pdf
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Abstract:
shore, set, etc. Automatic selection of the sense intended in a given text has crucial importance in many applications of text processing, such as information retrieval or machine translation: e.g., “(my account in the) bank ” is to be translated into Spanish as “(mi cuenta en el) banco ” whereas “(on the) bank (of the lake) ” as “(en la) orilla (del lago). ” Current methods of such disambiguation involve local maximization of coherence: for every word they select the sense that has more in common with the surrounding words, taking into account all their senses. Since the words are processed independently, this is logically inconsistent: the choice of a sense for a word can be affected by the nearby words ’ senses other than the ones chosen by the algorithm when processing those words. This leads to sub-optimal coherence between the chosen senses of close words. In this paper, we consider global optimization of such coherence and show that it can be improved as compared with the best existing approaches, leading to superior results. Due to high dimensionality of the search space, a genetic algorithm is used to find a near-optimal combination of sense choices.
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Keyword:
Genetic Algorithm; Information Retrieval; Key-Words; Lesk Relatedness Measure; Machine Translation; Natural Language Processing; Word Sense Disambiguation
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1185
http://www.gelbukh.com/cv/Publications/2003/WSD-GA.pdf
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| 14 |
Sentence Prediction on SMS in Sinhala Language
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In: http://www.ijsrp.org/research-paper-1213/ijsrp-p2473.pdf
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| 15 |
GA and SVM V.Srinivasan
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In: http://research.ijcaonline.org/volume60/number2/pxc3884102.pdf
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