Results 41 to 50 of about 1,606,312 (290)
Real-time fast learning hardware implementation
International Journal for Simulation and Multidisciplinary Design Optimization, 2023 Machine learning algorithms are widely used in many intelligent applications and cloud services. Currently, the hottest topic in this field is Deep Learning represented often by neural network structures.
Zhang Ming Jun +2 more
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Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students
Mathematics, 2022 Modernization and the ever-increasing trend of introducing modern technologies into various areas of everyday life require school graduates with programming skills.
Dalibor Gonda +3 more
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(Psycho-)Analysis of Benchmark Experiments [PDF]
, 2010 It is common knowledge that certain characteristics of data sets -- such as linear separability or sample size -- determine the performance of learning algorithms. In this paper we propose a formal framework for investigations on this relationship.
Eugster, Manuel J. A. +2 more
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Adaptive Extreme Edge Computing for Wearable Devices
Frontiers in Neuroscience, 2021 Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power consumption, processing speed, and system adaptation are vital ...
Erika Covi +6 more
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Equivalence of Learning Algorithms
CoRR, 2014 The purpose of this paper is to introduce a concept of equivalence between machine learning algorithms. We define two notions of algorithmic equivalence, namely, weak and strong equivalence. These notions are of paramount importance for identifying when learning prop erties from one learning algorithm can be transferred to another.
Julien Audiffren, Hachem Kadri
openaire +2 more sources
, 2018 Machine learning qualifies computers to assimilate with data, without being solely programmed [1, 2]. Machine learning can be classified as supervised and unsupervised learning.
Arif, Rezoana Bente +3 more
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IEEE Access, 2022 Quantum Cryptography emerged from the limitations of classical cryptography. It will play a vital role in information security after the availability of expected powerful quantum computers.
Chitra Biswas +2 more
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Class decomposition for GA-based classifier agents – A Pitt approach [PDF]
, 2004 Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental
Guan, SU, Zhu, F
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A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
Inventions, 2018 This paper offers a review of the artificial intelligence (AI) algorithms and applications presently being used for smart machine tools. These AI methods can be classified as learning algorithms (deep, meta-, unsupervised, supervised, and reinforcement ...
Chih-Wen Chang +2 more
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Perceptron learning with random coordinate descent [PDF]
, 2005 A perceptron is a linear threshold classifier that separates examples with a hyperplane. It is perhaps the simplest learning model that is used standalone. In this paper, we propose a family of random coordinate descent algorithms for perceptron learning
Li, Ling
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