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المؤلفون: Engin Erzin, Altynbek Isabekov
المساهمون: Isabekov, Altynbek, Erzin, Engin (ORCID 0000-0002-2715-2368 & YÖK ID 34503), College of Engineering, Department of Computer Engineering
المصدر: Neural Networks
مصطلحات موضوعية: Normalization (statistics), Computer science, Entropy, Cognitive Neuroscience, Gaussian, Normal Distribution, Boltzmann machine, Probability density function, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Machine Learning, Entropy (classical thermodynamics), symbols.namesake, Bias, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Entropy (information theory), Neurosciences and neurology, Entropy (energy dispersal), Entropy (arrow of time), 0105 earth and related environmental sciences, Likelihood Functions, business.industry, Entropy (statistical thermodynamics), Deep learning, Pattern recognition, Autoencoder, RBM, Hidden entropy, Hidden bias, Representational efficiency, symbols, 020201 artificial intelligence & image processing, Neural Networks, Computer, Artificial intelligence, business, MNIST database, Entropy (order and disorder)
وصف الملف: pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96cf0bfbfdb1b337ec912d58b23ee677Test
https://doi.org/10.1016/j.neunet.2018.06.002Test -
2دورية أكاديمية
المساهمون: Isabekov, Altynbek, Erzin, Engin (ORCID 0000-0002-2715-2368 & YÖK ID 34503), College of Engineering, Department of Computer Engineering
المصدر: Neural Networks
مصطلحات موضوعية: Computer science, Neurosciences and neurology, RBM, Hidden entropy, Hidden bias, Representational efficiency, Autoencoder, Deep learning
وصف الملف: pdf
العلاقة: Author's final manuscript; Koç University Institutional Repository; Isabekov, Altynbek, and Engin Erzin. "On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines." Neural Networks. 105 (2018): 405-418.; https://dx.doi.org/10.1016/j.neunet.2018.06.002Test; IR01587.pdf; WoS; Scopus; PubMed; NA; http://libdigitalcollections.ku.edu.tr/cdm/ref/collection/IR/id/8389Test
الإتاحة: https://doi.org/10.1016/j.neunet.2018.06.002Test
http://libdigitalcollections.ku.edu.tr/cdm/ref/collection/IR/id/8389Test
