Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Dabhi Vipul K."'
Publikováno v:
Journal of Intelligent Systems, Vol 26, Iss 3, Pp 457-469 (2017)
Clustering is an unsupervised kind of grouping of data points based on the similarity that exists between them. This paper applied a combination of particle swarm optimization and K-means for data clustering. The proposed approach tries to improve th
Externí odkaz:
https://doaj.org/article/b1915419b91d4b5c8ae93291eba1cbd6
Publikováno v:
Cybernetics and Information Technologies, Vol 17, Iss 1, Pp 146-163 (2017)
Several Job scheduling algorithms have been developed for Hadoop-Map Reduce model, which vary widely in design and behavior for handling different issues such as locality of data, user share fairness, and resource awareness. This article focuses on e
Externí odkaz:
https://doaj.org/article/ddfbab9369a24b88849d768b9e0adf18
Natural Language processing (NLP) represents the task of automatic handling of natural human language by machines.There is large spectrum of possible applications of NLP which help in automating tasks like translating text from one language to other,
Externí odkaz:
http://arxiv.org/abs/2102.00214
Autor:
Dabhi, Vipul K., Chaudhary, Sanjay
This paper describes Postfix-GP system, postfix notation based Genetic Programming (GP), for solving symbolic regression problems. It presents an object-oriented architecture of Postfix-GP framework. It assists the user in understanding of the implem
Externí odkaz:
http://arxiv.org/abs/1507.01687
Autor:
Naik, Tejashvi R., Dabhi, Vipul K.
In the field of empirical modeling using Genetic Programming (GP), it is important to evolve solution with good generalization ability. Generalization ability of GP solutions get affected by two important issues: bloat and over-fitting. Bloat is unco
Externí odkaz:
http://arxiv.org/abs/1304.3779
Autor:
Parekh, Hardik M., Dabhi, Vipul K.
Premature convergence is one of the important issues while using Genetic Programming for data modeling. It can be avoided by improving population diversity. Intelligent genetic operators can help to improve the population diversity. Crossover is an i
Externí odkaz:
http://arxiv.org/abs/1304.3610
Autor:
Prajapati, Harshad B., Dabhi, Vipul K.
Grid computing has attracted many researchers over a few years, and as a result many new protocols have emerged and also evolved since its inception a decade ago. Grid protocols play major role in implementing services that facilitate coordinated res
Externí odkaz:
http://arxiv.org/abs/1302.5481
Autor:
Dabhi, Vipul K., Chaudhary, Sanjay
In the field of empirical modeling using Genetic Programming (GP), it is important to evolve solution with good generalization ability. Generalization ability of GP solutions get affected by two important issues: bloat and over-fitting. We surveyed a
Externí odkaz:
http://arxiv.org/abs/1211.1119
Akademický článek
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Publikováno v:
Intelligent Decision Technologies; 2021, Vol. 15 Issue 2, p179-187, 9p