Results 261 to 270 of about 12,418 (275)
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Locally linear support vector machines and other local models
The 2010 International Joint Conference on Neural Networks (IJCNN), 2010The paper introduces various local models for solving machine learning (i.e., data mining) problems. In particular (and, due to their superior results) it focuses on a novel design of locally linear support vector machines classifiers. It presents them as powerful alternatives to the global (over the whole input space) nonlinear classifiers.
Vojislav Kecman, J. Paul Brooks
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Localization Techniques Using Machine Learning Algorithms
2021Wireless sensor networks monitor environments that amendment apace over time. This dynamic behavior of the networks is either caused by external factors or initiated by the system itself. Machine learning techniques help us to work with extreme conditions and assist in avoiding the redesign of the network.
Chandrika Dadhirao, RaviSankar Sangam
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Inference Machines for supervised Bluetooth localization
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017State space models, such as Kalman filters or Particle filters, have been applied to improve the accuracy of radio-wave-based localization. However, these models can drift radically when assumptions of the models are violated, and they do not have a mechanism to fix errors.
Tatsuya Ishihara +3 more
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Locality optimizations for parallel machines
1994This paper focuses on the problem of locality optimizations for high-performance uniprocessor and multiprocessor systems. It shows that the problems of minimizing interprocessor communication and optimizing cache locality can be formulated in a similar manner.
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Relevance vector machine for UWB localization
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014Wireless localization systems have a great importance in a variety of fields such as positioning and tracking systems. Specifically, in hash conditions, e.g., indoor environments, it is difficult to localize an agent with high accuracy due to radio blockage or insufficient information of anchors.
Thang Van Nguyen +2 more
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Local reaction condition optimization via machine learning
Journal of Molecular ModelingReaction condition optimization addresses shared requirements across academia and industry, particularly in chemistry, pharmaceutical development, and fine chemical engineering. This review examines recent progress and persistent challenges in machine learning-guided optimization of localized reaction conditions, with an emphasis on three core aspects:
Wenhuan, Song, Honggang, Sun
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Localized Fatigue in Accounting- Machine Operators
Journal of Occupational and Environmental Medicine, 1980K, Maeda, W, Hünting, E, Grandjean
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Object Localization Using Machine Learning
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), 2023openaire +1 more source
Localizing websites using machine translation
2018Lynne Bowker, Jairo Buitrago Ciro
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