Results 271 to 280 of about 5,787,644 (326)
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Gated Delta Networks: Improving Mamba2 with Delta Rule
International Conference on Learning RepresentationsLinear Transformers have gained attention as efficient alternatives to standard Transformers, but their performance in retrieval and long-context tasks has been limited.
Songlin Yang, Jan Kautz, Ali Hatamizadeh
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On Retention of Adaptation Rules
2014The difficulty of acquiring case adaptation knowledge is a classic problem for case-based reasoning (CBR). One method for addressing this problem is to use the cases in the case base as data from which to learn adaptation rules. For numeric prediction tasks, adaptation rules have been successfully learned from the case base by using the case difference
Vahid Jalali, David Leake
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Adaptive Ho-Kashyap rules for perceptron training
IEEE Transactions on Neural Networks, 1992Three adaptive versions of the Ho-Kashyap perceptron training algorithm are derived based on gradient descent strategies. These adaptive Ho-Kashyap (AHK) training rules are comparable in their complexity to the LMS and perceptron training rules and are capable of adaptively forming linear discriminant surfaces that guarantee linear separability and of ...
M H, Hassoun, J, Song
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Revisiting the Mit Rule for Adaptive Control
IFAC Proceedings Volumes, 1987Abstract The MIT rule is a scalar parameter adjustment law which was proposed in 1961 for the model reference adaptive control of linear systems modeled as the cascade of a known stable plant and a single unknown gain. This adjustment law was derived by approximating a gradient descent procedure for an integral error squared performance criterion ...
Iven M.Y. Mareels +4 more
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Design Rules for Adaptive Arrays
IEEE Transactions on Aerospace and Electronic Systems, 1984The concepts of "equivalent linear arrays" and "minimum effective spacing" can be used to simplify the analysis of planar adaptive arrays. The resulting design rules permit the rapid determination of array configurations without the need for computer modeling.
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Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices
Neural computing & applications (Print), 2017In this paper, we propose a learning rule based on a back-propagation (BP) algorithm that can be applied to a hardware-based deep neural network using electronic devices that exhibit discrete and limited conductance characteristics.
Suhwan Lim +7 more
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Context adaptation of mamdani fuzzy rule based systems
International Journal of Intelligent Systems, 2008Summary: Context adaptation is certainly a promising approach in the development of Fuzzy Rule Based Systems (FRBSs). First, an initial rule base is extracted from heuristic knowledge of the application domain. Meanings of linguistic terms are defined so as to guarantee high interpretability of the FRBSs.
BOTTA A. +2 more
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Apache Adaptation to Hispanic Rule
2016As a definitive study of the poorly understood Apaches de paz, this book explains how war-weary, mutually suspicious Apaches and Spaniards negotiated an ambivalent compromise after 1786 that produced over four decades of uneasy peace across the region. In response to drought and military pressure, thousands of Apaches settled near Spanish presidios in ...
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The Rule of Sustainability and Planning Adaptivity
AMBIO: A Journal of the Human Environment, 2005This article confronts present main stream planning approaches against the perspective of ecological sustainability, as relevant for Rule of Law countries and based on a modern environmental law approach. It discusses the setting and implementation of environmental goals against the general experience of massive implementation deficits regarding ...
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