Eulogy
发表于 2025-3-30 09:06:14
Recognition of Properties by Probabilistic Neural Networkse have to identify some non-exclusive properties and therefore it is unnatural in biological neural networks. Considering the framework of probabilistic neural networks we propose statistical identification of non-exclusive properties by using one-class classifiers.
英寸
发表于 2025-3-30 12:42:45
https://doi.org/10.1007/978-3-642-04277-5Support Vector Machine; algorithms; autonomous vehicles; bioinspired computing; cognitive systems; comput
不能逃避
发表于 2025-3-30 16:32:07
978-3-642-04276-8Springer-Verlag Berlin Heidelberg 2009
改变立场
发表于 2025-3-30 23:27:32
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bizarre
发表于 2025-3-31 03:54:07
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2否定
发表于 2025-3-31 07:52:28
https://doi.org/10.1007/3-540-18797-9both the data and embedding spaces. In particular, similarities in Simbed can account for the phenomenon of norm concentration that occurs in high-dimensional spaces. This feature is shown to reinforce the advantage of Simbed over other embedding techniques in experiments with a face database.
Addictive
发表于 2025-3-31 11:32:06
Eichinvarianz bei massiven Vektor - Feldern,ity matrix. The method was further developed to treat high-dimensional data with application to document clustering. We have tested the method on several benchmark data sets and we witness a superior performance in comparison with the standard approach.
progestogen
发表于 2025-3-31 17:07:00
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