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Showing 13 of 113 academic articles
Adi Laurentiu Tarca, Vincent J. Carey, Xuewen Chen, Roberto J. Romero et al. • PLoS Computational Biology
(2007)
The term machine learning refers to a set of topics dealing with the creation and evaluation of algorithms that facilitate pattern recognition, classification, and prediction, based on models derived from existing data. Two facets of mechan...
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public-domain
DOI: https://doi.org/10.1371/journal.pcbi.0030116
PMC: 1904382
Radford M. Neal • Technometrics
(2007)
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366....
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DOI: https://doi.org/10.1198/tech.2007.s518
Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang et al. • Applied Sciences
(2025)
The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tail...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052383
• Series in machine perception and artificial intelligence
(2019)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...
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DOI: https://doi.org/10.1142/9789811201967_0001
Ethem Alpaydın • The MIT Press eBooks
(2021)
A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...
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Open Access
DOI: https://doi.org/10.7551/mitpress/13811.001.0001
Tarik Abu-Ain, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Ashraf Abu-Ein et al. • Journal of ICT Research and Applications
(2014)
Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line. In this side, t...
DOAJ
Open Access (DOAJ)
DOI: 10.5614/itbj.ict.res.appl.2013.7.2.5
• Communications in computer and information science
(2019)
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DOI: https://doi.org/10.1007/978-3-030-37548-5
Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang et al. • Trends in Genetics
(2024)
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing nume...
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cc-by-nc
DOI: https://doi.org/10.1016/j.tig.2024.07.001
• Machine intelligence and pattern recognition
(1988)
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DOI: https://doi.org/10.1016/c2009-0-12313-9
Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sang-Hun Lee et al. • Journal of Pathology and Translational Medicine
(2018)
As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic ...
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cc-by-nc
DOI: https://doi.org/10.4132/jptm.2018.12.16
PMC: 6344799
Igor Aleksander • Electronics and Power
(1976)
The dividing line between pattern recognition and artificial intelligence is very slim. Consequently, the pattern-recognition ability of the random-access memory can be utilised in implementing networks of high ‘intelligence’...
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DOI: https://doi.org/10.1049/ep.1976.0108
ZHANG Yifan, SONG Wei • Jisuanji kexue yu tansuo
(2024)
When solving multi-objective optimization problems, particle swarm optimization algorithms usually employ preset example selection methods and search strategies, which cannot be adjusted according to specific optimization states. In the fac...
DOAJ
Open Access (DOAJ)
DOI: 10.3778/j.issn.1673-9418.2304026
• Machine intelligence and pattern recognition
(1990)
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DOI: https://doi.org/10.1016/c2009-0-14501-4