• Stability, also known as algorithmic stability, is a notion in computational learning theory of how a machine learning algorithm output is changed with...
    16 KB (2,656 words) - 08:57, 14 September 2024
  • distributions Stability (learning theory), a property of machine learning algorithms Stability, a property of sorting algorithms Numerical stability, a property...
    4 KB (487 words) - 09:36, 3 January 2024
  • computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms...
    8 KB (873 words) - 13:59, 14 October 2024
  • Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. Statistical learning theory deals...
    11 KB (1,709 words) - 12:54, 4 October 2024
  • Thumbnail for Activation function
    activation function. Logistic function Rectifier (neural networks) Stability (learning theory) Softmax function Hinkelmann, Knut. "Neural Networks, p. 7" (PDF)...
    24 KB (1,924 words) - 20:38, 6 November 2024
  • methods for learning Semantic analysis Similarity learning Sparse dictionary learning Stability (learning theory) Statistical learning theory Statistical...
    41 KB (3,580 words) - 13:18, 22 October 2024
  • brain neurons during the learning process. It was introduced by Donald Hebb in his 1949 book The Organization of Behavior. The theory is also called Hebb's...
    23 KB (3,310 words) - 16:09, 26 October 2024
  • 'plasticity/stability' problem, i.e. the problem of acquiring new knowledge without disrupting existing knowledge that is also called incremental learning. The...
    16 KB (1,911 words) - 13:43, 18 February 2024
  • provide generalization conditions for learning algorithms. From this point of view, VC theory is related to stability, which is an alternative approach for...
    20 KB (3,747 words) - 12:08, 8 July 2024
  • control system theory, the Routh–Hurwitz stability criterion is a mathematical test that is a necessary and sufficient condition for the stability of a linear...
    17 KB (3,154 words) - 22:49, 5 November 2024
  • contributed to the establishment of control stability criteria; and from 1922 onwards, the development of PID control theory by Nicolas Minorsky. Although a major...
    44 KB (6,465 words) - 05:08, 25 October 2024
  • concepts of stability theory to broader contexts, such as simple and NIP theories. A common goal in model theory is to study a first-order theory by analyzing...
    30 KB (3,633 words) - 20:03, 4 October 2023
  • the term "Theory of Models" in publication in 1954. Since the 1970s, the subject has been shaped decisively by Saharon Shelah's stability theory. Compared...
    62 KB (9,048 words) - 08:47, 4 August 2024
  • For supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error...
    11 KB (1,568 words) - 11:02, 26 October 2024
  • Thumbnail for Cross-validation (statistics)
    Cross-validation (statistics) (category Machine learning)
    learning) Bootstrap aggregating (bagging) Out-of-bag error Bootstrapping (statistics) Leakage (machine learning) Model selection Stability (learning theory)...
    42 KB (5,623 words) - 18:40, 25 June 2024
  • (BCM) theory, BCM synaptic modification, or the BCM rule, named after Elie Bienenstock, Leon Cooper, and Paul Munro, is a physical theory of learning in...
    15 KB (2,356 words) - 21:22, 31 October 2024
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    and Machine Learning. New York: Springer. ISBN 978-0-387-31073-2. Vapnik VN, Vapnik VN (1998). The nature of statistical learning theory (Corrected 2nd...
    161 KB (16,991 words) - 10:49, 5 November 2024
  • 015. Chowdhary, Girish; Johnson, Eric (2011). "Theory and flight-test validation of a concurrent learning adaptive controller". Journal of Guidance, Control...
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  • observational learning include exposure to the model, acquiring the model's behaviour and accepting it as one's own. Bandura's social cognitive learning theory states...
    57 KB (7,443 words) - 17:08, 27 September 2024
  • Thumbnail for Game theory
    biology, game theory has been used as a model to understand many different phenomena. It was first used to explain the evolution (and stability) of the approximate...
    140 KB (15,578 words) - 22:17, 3 November 2024
  • machine learning (ML), boosting is an ensemble metaheuristic for primarily reducing bias (as opposed to variance). It can also improve the stability and accuracy...
    21 KB (2,255 words) - 14:16, 4 November 2024
  • (1990). It is a radical manifestation of the 'sensitivity-stability' dilemma or the 'stability-plasticity' dilemma. Specifically, these problems refer to...
    32 KB (4,173 words) - 11:32, 5 September 2024
  • Mastery learning (or, as it was initially called, "learning for mastery"; also known as "mastery-based learning") is an instructional strategy and educational...
    43 KB (5,493 words) - 01:06, 4 November 2024
  • Complexity theory also relates to knowledge management (KM) and organizational learning (OL). "Complex systems are, by any other definition, learning organizations...
    21 KB (1,893 words) - 05:48, 21 June 2024
  • (2001). Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability. Wiley. ISBN 978-0-471-49517-8. Grossberg, Stephen...
    89 KB (10,298 words) - 03:28, 24 October 2024
  • pocket algorithm with ratchet (Gallant, 1990) solves the stability problem of perceptron learning by keeping the best solution seen so far "in its pocket"...
    45 KB (5,880 words) - 04:51, 9 October 2024
  • with inverse reinforcement learning), or the agent can seek information to improve its preferences. Information value theory can be used to weigh the value...
    267 KB (26,831 words) - 06:35, 8 November 2024
  • Thumbnail for Deep learning
    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation...
    181 KB (17,900 words) - 02:24, 5 November 2024
  • Thumbnail for Power law of practice
    Power law of practice (category Learning theory (education))
    rate Portal: Psychology Learning curve Power law Forgetting Power Law [Snoddy, 1926] Snoddy, G. S. (1926). Learning and stability: a psychophysiological...
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  • Strassberg, and Turner (2005) supports this theory. While sex differences in sexual orientation stability were found for heterosexuals and gays/lesbians...
    44 KB (5,158 words) - 06:29, 29 September 2024