Results 261 to 270 of about 111,097 (310)

(Re)packing Equal Disks into Rectangle. [PDF]

Discrete Comput Geom
Fomin FV, Golovach PA, Inamdar T, Saurabh S, Zehavi M.   +4 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Investigation of in silico studies for cytochrome P450 isoforms specificity. [PDF]

Comput Struct Biotechnol J
Wei Y, Palazzolo L, Ben Mariem O, Bianchi D, Laurenzi T, Guerrini U, Eberini I.   +6 more
europepmc   +1 more source

Shared-Memory Parallel Edmonds Blossom Algorithm for Maximum Cardinality Matching in General Graphs. [PDF]

IEEE Int Symp Parallel Distrib Process Workshops Phd Forum
Schwing G, Grosu D, Schwiebert L.
europepmc   +1 more source

Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses. [PDF]

Sci Rep
Qu X, Jia Z.
europepmc   +1 more source

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.
openaire   +2 more sources

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
openaire   +1 more source

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