Showing 20 of 622 academic articles
Hanjie Xu, Jian Xiong, Jinyu Wu, Xianlai Zhou et al. • Scientific Reports
(2025)
Abstract The Ivy Algorithm (IVYA), a swarm intelligence algorithm inspired by plant growth, presents a novel framework for optimization. To unlock its full potential in complex, high-dimensional problems, it is crucial to address the fundam...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-32510-z
Haldun Aytuğ, Siddhartha Bhattacharyya, G.J. Koehler, Jane L. Snowdon • IEEE Transactions on Engineering Management
(1994)
This paper has two primary purposes: to motivate the need for machine learning in scheduling systems and to survey work on machine learning in scheduling. In order to motivate the need for machine learning in scheduling, we briefly motivate...
OPENALEX
DOI: https://doi.org/10.1109/17.293383
Jaime Carbonell, Ryszard S. Michalski, Tom M. Mitchell • Springer eBooks
(1983)
OPENALEX
DOI: https://doi.org/10.1007/978-3-662-12405-5_1
Qingyang Ling • Applied and Computational Engineering
(2023)
Machine learning is a field of study where the computer can learn for itself without a human explicitly hardcoding the knowledge for it. These algorithms make up the backbone of machine learning. This paper aims to study the field of machin...
OPENALEX
cc-by
DOI: https://doi.org/10.54254/2755-2721/4/20230355
Pedro Domingos • Communications of the ACM
(2012)
Tapping into the "folk knowledge" needed to advance machine learning applications....
OPENALEX
DOI: https://doi.org/10.1145/2347736.2347755
Gavin Hackeling (2014)
If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential...
OPENALEX
J. R. Quinlan (1992)
Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have made some of the most significant contributions to their development. This book is ...
OPENALEX
Vijay K. Vemuri • Journal of Information Technology Case and Application Research
(2020)
Advances in Artificial intelligence and machine learning have developed beyond the theoretical realm. In fact, several day-to-day applications are currently in use. Although artificial intelligence......
OPENALEX
DOI: https://doi.org/10.1080/15228053.2020.1766224
Yves Kodratoff • CERN Document Server (European Organization for Nuclear Research)
(1988)
1 Why Machine Learning and AI: The Contributions of AI to Learning Techniques 2 Theoretical Foundations for Machine Learning 3 Representation of Complex Knowledge by Clauses 4 Representation of Knowledge about Actions and the Addition of Ne...
OPENALEX
• Human-computer interaction series
(2018)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-90403-0
Ral Garreta, Guillermo Moncecchi • International Linear Collider
(2013)
The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this...
OPENALEX
Stephen Marsland (2009)
Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is r...
OPENALEX
Luc De Raedt, Peter A. Flach • Lecture notes in computer science
(2001)
OPENALEX
DOI: https://doi.org/10.1007/3-540-44795-4
Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola • The Annals of Statistics
(2008)
We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on the data domain, expanded in terms of a ke...
OPENALEX
Open Access
DOI: https://doi.org/10.1214/009053607000000677
Het Patel, Aditya Kansara, Boppuru Rudra Prathap, Kukatlapalli Pradeep Kumar • Measurement: Sensors
(2023)
The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popula...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.measen.2023.100768
Sheena Angra, Sachin Ahuja • International Conference on Big Data Analytics and Computational Intelligence (ICBDAC)
(2017)
Nowadays, large amount of data is available everywhere. Therefore, it is very important to analyze this data in order to extract some useful information and to develop an algorithm based on this analysis. This can be achieved through data m...
OPENALEX
DOI: https://doi.org/10.1109/icbdaci.2017.8070809
Nishant Shukla • CERN Document Server (European Organization for Nuclear Research)
(2018)
Summary Machine Learning with Tensor Flow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding Tensor Flow with Python. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub forma...
OPENALEX
• Choice Reviews Online
(1993)
OPENALEX
DOI: https://doi.org/10.5860/choice.30-3308
Xiaonan Pan, Jian Kang, Jianrui Zhang • Scientific Reports
(2026)
Abstract Metallic elastic elements serve as critical structural components in advanced electro mechanical assemblies, where cyclic loading induces progressive rigidity reduction. Within electro-hydraulic servo valves (EHSV), the feedback me...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-55495-9
Danilo Bzdok, Naomi Altman, Martin I. Krzywinski • Nature Methods
(2018)
OPENALEX
Open Access
DOI: https://doi.org/10.1038/nmeth.4642
PMC: 6082636