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- Classification is a subcategory of supervised learning problems. [[Category:Machine learning|Classification algorithms]] ...1 KB (203 words) - 08:27, 11 March 2023
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- Classification is a subcategory of supervised learning problems. [[Category:Machine learning|Classification algorithms]] ...1 KB (203 words) - 08:27, 11 March 2023
- Here we give an overview and classification of machine learning topics and problems == Supervised Learning == ...4 KB (660 words) - 08:28, 11 March 2023
- This page about ''Open Machine Learning'' can be displayed as '''[https://niebert.github.io/Wiki2Reveal/wiki2reveal The following aspects of ''Open Machine Learning'' are considered in detail: ...19 KB (3,119 words) - 16:24, 29 April 2024
- ...s of <u>'''non-parametric'''</u> algorithms that are used <u>'''supervised learning'''</u> problems: Classification and Regression. Decision tree algorithms are <u>'''discriminative'''</u> models.<br /> ...7 KB (1,115 words) - 08:28, 11 March 2023
- This learning resource is created as a [[Wiki2Reveal]] course about an Open Search infras * the ranking algorithms of the search results, ...6 KB (967 words) - 07:57, 21 May 2021
- ) is a [[Wikipedia:Lie_superalgebra|Lie Superalgebra]] bound algorithmic learning model, on the horizon of evidence pertaining to [[Wikipedia:Supersymmetry|S ...ric Artificial Intelligence (though not Deep Gradient Descent-like machine learning) can be traced back to work by Czachor et al, concerning a single section/f ...19 KB (2,726 words) - 16:20, 4 October 2023
- ...rst3=M.M.;|last4=Houssein|first4=E.H.|date=2023-01-01|title=Optimized deep learning architecture for brain tumor classification using improved Hunger Games Sea ...ed the feature selection process, leading to better performance in machine learning applications.<ref>{{Cite journal|last=Ma|first=B.J.;|last2=Liu|first2=S.;|l ...11 KB (1,585 words) - 00:50, 29 August 2024
- ...s, making it a valuable tool in fields such as engineering design, machine learning, and logistics. ...on, adaptive update based on leadership, and lens imaging opposition-based learning. These strategies aim to enhance convergence speed, accuracy, and balance b ...9 KB (1,411 words) - 15:08, 9 October 2024
- ...Optimization Techniques: Kundu and Garg (2022) combined SMA with Teaching-Learning-Based Optimization (TLBO) and Lévy flight mutation for enhanced numerical a ...first2=B.E.|date=2022-01-01|title=An Efficient Orthogonal Opposition-Based Learning Slime Mould Algorithm for Maximum Power Point Tracking|journal=Neural Compu ...17 KB (2,472 words) - 16:17, 24 November 2024
- ...rithms for Arabic Handwritten Characters." Handbook of Research on Machine Learning Innovations and Trends. IGI Global, 2017. 897-914.</ref> ...bdulhamid "A Cloud-based Conceptual Framework for Multi-Objective Virtual Machine Scheduling using Whale Optimization Algorithm" International Journal of Inn ...16 KB (2,279 words) - 00:13, 29 August 2024
- This learning resources focuses on distributed computing and its requirements and constra ...hile the coordination of a large-scale distributed system uses distributed algorithms.<ref name="BetalebParallel16">{{cite web ...46 KB (6,433 words) - 00:27, 28 November 2020
- As a [[w:en:machine-learning|machine-learning]] [[w:en:algorithm|algorithm]], '''backpropagation''' performs a backward p ...rt]] et al. published an experimental analysis of the technique.<ref name="learning-representations"/> This contributed to the popularization of backpropagatio ...55 KB (8,396 words) - 13:16, 4 October 2023
- ...at any one moment. In the field of [[w:en:Human–computer interaction|human–machine interaction]], perceptible latency has a strong effect on [[w:en:Computer u ...learning resource is based on the [[Open Community Approach]], so that the learning content is available on Wikiversity and the tools to explore the concept of ...22 KB (3,323 words) - 17:28, 1 March 2021
- == Learning Task == ...g Environment]] where Hopfield networks can be applied for adaption of the learning environment to the requirements and constraints of the learner. ...58 KB (9,176 words) - 09:55, 8 December 2024
- == Learning Task == * Look at the [[Open Search]] learning resource and apply Fuzzy Logic to search queries. Describe the benefits and ...58 KB (8,252 words) - 06:16, 11 June 2023
- ...pecific instance of social system, QCA is quite applicable. In this sense, learning patterns of behavior that are contingent to a specific empirical setting is ...that configuration analysis is a kind of classification analysis based on algorithms working with combinational logic instead of probabilities. The first ever u ...57 KB (8,596 words) - 08:14, 6 August 2023
- {{short description|Computational model used in machine learning, based on connected, hierarchical functions}} {{Machine learning|Artificial neural network}} ...82 KB (11,244 words) - 17:40, 29 December 2024
- This learning resource will address processes of repeatition in which specific items repe == Learning Tasks == ...29 KB (4,366 words) - 13:09, 24 June 2023
- This is a research learning project related to [[Portal:Artificial intelligence]] for [[Conversational ...s for the Switchboard corpus. We also show how efficient vector clustering algorithms can be used for real-time utterance predictions that require no training an ...44 KB (6,724 words) - 10:42, 1 April 2021
- ...mproving the efficiency and scalability of approximate duplicate detection algorithms. We conclude with a coverage of existing tools and with a brief discussion ...." refers to the same entity as "George W. Bush"). We should note that the algorithms developed for mirror detection or for anaphora resolution are often applica ...127 KB (19,091 words) - 13:43, 11 August 2023