Results 51 to 60 of about 10,487,885 (363)
Approximation of functions of finite variation by superpositions of a Sigmoidal function
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MARINO, Giuseppe, LEWICKI G.
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Stable Heterogeneity for the Production of Diffusible Factors in Cell Populations [PDF]
The production of diffusible molecules that promote survival and growth is common in bacterial and eukaryotic cell populations, and can be considered a form of cooperation between cells.
A Grafen+24 more
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Spatially localized solutions of the Hammerstein equation with sigmoid type of nonlinearity [PDF]
We study the existence of fixed points to a parameterized Hammerstein operator Hβ, β∈(0,∞], with sigmoid type of nonlinearity.
Kostrykin, V+3 more
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In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms ...
Yu-Chun Wu+7 more
semanticscholar +1 more source
The Gudermannian Growth Model: Theory, Application and Statistical Analysis [PDF]
: Processes producing sigmoid curves are common in many areas such as biology, agrarian sciences, demography and engineering. Several mathematical functions have been proposed for modeling sigmoid curves.
Marcelo Teixeira Leite
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Constructive Approximation by Superposition of Sigmoidal Functions
In this paper, a constructive theory is developed for approximating func- tions of one or more variables by superposition of sigmoidal functions. This is done in the uniform norm as well as in the L p norm. Results for the simultaneous approx- imation, with the same order of accuracy, of a function and its derivatives (whenever these exist), are ...
COSTARELLI, DANILO, SPIGLER, Renato
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An analysis on neural dynamics with saturated sigmoidal functions
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Jianfeng Feng+2 more
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Enzyme-Based Logic: OR Gate with Double-Sigmoid Filter Response
The first realization of a biomolecular OR gate function with double-sigmoid response (sigmoid in both inputs) is reported. Two chemical inputs activate the enzymatic gate processes resulting in the output signal: chromogen oxidation, which occurs when ...
Bocharova, Vera+3 more
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Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection [PDF]
Speech Activity Detection (SAD) plays an important role in mobile communications and automatic speech recognition (ASR). Developing efficient SAD systems for real-world applications is a challenging task due to the presence of noise.
Chen, Liming+7 more
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Long Short-Term Memory (LSTM) infers the long term dependency through a cell state maintained by the input and the forget gate structures, which models a gate output as a value in [0,1] through a sigmoid function.
Jang, JoonHo+3 more
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