Results 261 to 270 of about 1,566,699 (318)

Defense dynamics in walnut (Juglans regia L.) fruit during walnut husk fly (Rhagoletis completa Cresson) infestation: an integrative, multi-level analysis. [PDF]

BMC Plant Biol
Grohar MC, Zamljen T, Medič A, Šimkova K, Burin T, Vidrih R, Veberič R.   +6 more
europepmc   +1 more source

Epidemic dynamics prediction using fractional SIRD and deep learning. [PDF]

Sci Rep
Shafqat R, Abuasbeh K, Trabelsi S, Balti M.   +3 more
europepmc   +1 more source

Comprehensive evaluation and clinical implications of kernel extreme learning machine long short term memory transformer framework. [PDF]

Am J Transl Res
Zheng W, Pan Y, Wang Y, Zhu L.
europepmc   +1 more source

Large Separable Kernel Attention-Driven Multidimensional Feature Cross-Level Fusion Classification Network of Knee Cartilage Injury: Algorithm Development and Validation.

JMIR Med Inform
Zhang L, Yu H, Yang Y.
europepmc   +1 more source

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Kernel-based object tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
D. Comaniciu, Visvanathan Ramesh, P. Meer   +2 more
exaly   +2 more sources

Kernel Factory: An ensemble of kernel machines [PDF]

Expert Systems with Applications, 2013
We propose an ensemble method for kernel machines. The training data is randomly split into a number of mutually exclusive partitions defined by a row and column parameter. Each partition forms an input space and is transformed by an automatically selected kernel function into a kernel matrix K.
M. BALLINGS, D. VAN DEN POEL
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Bergman Kernel, Szegö Kernel and Dirichlet Integral

Complex Analysis and Operator Theory, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Kernel Methods

2015
What the reader should know to understand this chapter • Notions of calculus. • Chapters 5, 6, and 7. • Although the reading of Appendix D is not mandatory, it represents an advantage for the chapter understanding.
CAMASTRA, Francesco, Vinciarelli, Alessandro   +1 more
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Kernel-Kohonen Networks

International Journal of Neural Systems, 2002
We investigate the combination of the Kohonen networks with the kernel methods in the context of classification. We use the idea of kernel functions to handle products of vectors of arbitrary dimension. We indicate how to build Kohonen networks with robust classification performance by transformation of the original data vectors into a possibly ...
openaire   +2 more sources