• Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017...
    23 KB (2,496 words) - 16:53, 17 April 2025
  • Meta-learning (computer science) Multivariate analysis Radial basis function network Weak supervision Wu, Wei. "Unsupervised Learning" (PDF). Archived...
    31 KB (2,770 words) - 17:17, 16 July 2025
  • of computer gaming and artificial intelligence. The synonym self-teaching computers was also used in this time period. The earliest machine learning program...
    140 KB (15,528 words) - 00:32, 8 August 2025
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    Fundamental areas of computer science Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines...
    72 KB (6,671 words) - 02:53, 17 July 2025
  • Thumbnail for Educational technology
    intelligence, and computer science. It encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile...
    180 KB (19,085 words) - 06:08, 8 August 2025
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    self-supervised learning, generative adversarial networks, document classification and translation, and computer vision. FAIR released Torch deep-learning modules...
    17 KB (1,318 words) - 01:54, 2 August 2025
  • include hyperparameter optimization, meta-learning and neural architecture search. In a typical machine learning application, practitioners have a set...
    9 KB (1,034 words) - 10:43, 30 June 2025
  • Thumbnail for Yann LeCun
    Yann LeCun (category Machine learning researchers)
    8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational...
    23 KB (2,019 words) - 08:57, 19 July 2025
  • Rob Fergus (category Machine learning researchers)
    computer science at Courant Institute of Mathematical Sciences at New York University (NYU) and a research scientist at DeepMind. He co-founded Meta AI...
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  • In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and...
    8 KB (865 words) - 00:46, 24 March 2025
  • compares 'meta-learning approaches to active learning' to 'traditional heuristic-based Active Learning' may give intuitions if 'Learning active learning' is...
    18 KB (2,211 words) - 03:37, 10 May 2025
  • Computer-assisted language learning (CALL), known as computer-aided instruction (CAI) in British English and computer-aided language instruction (CALI)...
    64 KB (9,068 words) - 15:15, 1 August 2025
  • its use in the book Structure and Interpretation of Computer Programs. A self-interpreter is a meta-circular interpreter where the host language is also...
    18 KB (1,945 words) - 18:40, 1 August 2025
  • Thumbnail for Jürgen Schmidhuber
    Jürgen Schmidhuber (category Machine learning researchers)
    the 2010s. He also introduced principles of dynamic neural networks, meta-learning, generative adversarial networks and linear transformers, all of which...
    34 KB (3,148 words) - 20:51, 10 June 2025
  • topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study...
    39 KB (3,385 words) - 07:36, 7 July 2025
  • Additionally, a 2015 meta-analysis that historically looked back at a comprehensive review of evidence-based research studies around blended learning, found commonalities...
    32 KB (3,572 words) - 20:07, 3 August 2025
  • and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence...
    11 KB (812 words) - 23:52, 6 August 2025
  • PyTorch (category Deep learning software)
    originally developed by Meta AI and now part of the Linux Foundation umbrella. It is one of the most popular deep learning frameworks, alongside others...
    18 KB (1,548 words) - 15:16, 5 August 2025
  • there is substantial research and development of using quantum computers with machine learning algorithms. For example, there is a prototype, photonic, quantum...
    194 KB (19,249 words) - 18:49, 7 August 2025
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    for ontology matching; and the support of meta-ontologies such as OWL-S, Dublin Core, etc. Ontology learning is the automatic or semi-automatic creation...
    60 KB (6,203 words) - 21:05, 1 August 2025
  • Computer-supported collaborative learning (CSCL) is a pedagogical approach wherein learning takes place via social interaction using a computer or through...
    73 KB (9,223 words) - 22:39, 11 July 2025
  • domains in machine learning, including natural language processing tasks such as text summarization and conversational agents, computer vision tasks like...
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  • Announcement)". Cyber Security Cryptography and Machine Learning. Lecture Notes in Computer Science. Vol. 11527. pp. 202–207. doi:10.1007/978-3-030-20951-3_18...
    53 KB (6,692 words) - 22:08, 7 August 2025
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    Metadata (redirect from Meta data)
    described using metadata standards. The first description of "meta data" for computer systems is purportedly noted by MIT's Center for International...
    103 KB (11,334 words) - 16:49, 6 August 2025
  • Liang Zhao (category American computer scientists)
    Liang Zhao is a computer scientist and academic from China. He is an associate professor in the Department of Computer Science at Emory University. Zhao's...
    19 KB (1,825 words) - 20:06, 7 August 2025
  • Metaknowledge (redirect from Meta-knowledge)
    Metalearning Metaprogramming (in computer science) Metahistory (concept) Metahistory, a book by Hayden White Meta-philosophy Meta-epistemology Metalogic Metamathematics...
    3 KB (350 words) - 04:09, 26 May 2025
  • In computer programming, a software framework is a software abstraction that provides generic functionality which developers can extend with custom code...
    13 KB (1,552 words) - 12:45, 4 May 2025
  • Turing Limit". Journal of Computer and System Sciences. 238 (28): 632–637. Bibcode:1995Sci...268..545S. doi:10.1126/science.268.5210.545. PMID 17756722...
    36 KB (1,847 words) - 07:01, 20 July 2025
  • Thumbnail for Joëlle Pineau
    Joëlle Pineau (category Canadian women computer scientists)
    focuses on reinforcement learning, deep learning, computer vision and video understanding. In 2018 she won the Natural Sciences and Engineering Research...
    15 KB (1,195 words) - 20:26, 25 June 2025
  • Thumbnail for Learning
    subjects. Active learning encourages learners to have an internal dialogue in which they verbalize understandings. This and other meta-cognitive strategies...
    79 KB (9,949 words) - 13:29, 5 August 2025