Engin Avci, Abdulkadir Sengur, Davut Hanbay · 2015
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
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Zekâi Şen · 2023
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Kaushik Kumar, Divya Zindani, J. Paulo Davim · 2019
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2015
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SpringerReference · 2011
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Parteek Bhatia · 2025
Machine learning has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intelligence. This lucid textbook presents the theoretical foundations of machine learning algorithms, and then illustrates each concept with its detailed implementation in Python to allow beginners to effectively implement the principles in real-world applications. All major techniques, such as regression, classification, clustering, deep learning, and association mining, have been illustrated using step-by-step coding instructions to help inculcate a 'learning by doing' approach. The book has no prerequisites, and covers the subject from the ground up, including a detailed introductory chapter on the Python language. As such, it is going to be a valuable resource not only for students of computer science, but also for anyone looking for a foundation in the subject, as well as professionals looking for a ready reckoner.
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長尾智晴, TOMOHARU NAGAO · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 2006
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Hong He N, Yonghong Tan, Communicated B. Hammer · 2011
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
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2014
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2008
Abstract--We propose a new method for the use of genetic algorithms to synthesize a finite state machine consistent with a given input/output sequence set. Our approach improves the method previously used by many researchers by omitting the evolution of complete FSM but rather evolve only the state transition function. The output will later be inferred from the input/output sequence set. The results show that our method is able to solve a much larger problem size than the previous approach.
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2008
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Xiaolei Liao (2993637), Juanjuan Zhao (300644), Cheng Jiao (2993634) et al. · Figshare · 2016
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Xiang Wan (590729), Jiming Liu (347937), William K. Cheung (590730) et al. · Figshare · 2015
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Adarsh Subash · 2026
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Physics Subject Headings (PhySH) · 2018
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Maqbool, Fahad · Zenodo (CERN European Organization for Nuclear Research) · 2022
First release of FAIR genetic algorithm following FAIR guidelines for algorithms.
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Abhay Bairagi · Zenodo (CERN European Organization for Nuclear Research) · 2024
A novel genetic algorithm based decisive approach for detection of influencing node in terrorist network (An Anti-Terrorism Approach) Saurabh Singh 1, Anu Sayal2, Om Prakash Chauhan1, Mahesh Motwani3, Divyani Indurkhya1, Khushi Koshta1, Abhay Bairagi1 1Department of computer science and engineering, Jabalpur engineering college, Jabalpur, Madhya Pradesh, India. 2Taylor's University, Subang Jaya, Selangor, Malaysia 3Department of computer science and engineering, Rajiv Gandhi Prodhyogiki Vishwavidyalaya Bhopal, Bhopal, Madhya Pradesh, India.
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Abhay Bairagi · Zenodo (CERN European Organization for Nuclear Research) · 2024
A novel genetic algorithm based decisive approach for detection of influencing node in terrorist network (An Anti-Terrorism Approach) Saurabh Singh 1, Anu Sayal2, Om Prakash Chauhan1, Mahesh Motwani3, Divyani Indurkhya1, Khushi Koshta1, Abhay Bairagi1 1Department of computer science and engineering, Jabalpur engineering college, Jabalpur, Madhya Pradesh, India. 2Taylor's University, Subang Jaya, Selangor, Malaysia 3Department of computer science and engineering, Rajiv Gandhi Prodhyogiki Vishwavidyalaya Bhopal, Bhopal, Madhya Pradesh, India.
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Yeni Herdiyeni, Ahmad Ridha, Julio Adisantoso · 2012
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Dwight Deugo · Communications in computer and information science · 2025
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