Results 121 to 130 of about 5,243,869 (304)

A Graph-Space Optimal Transport Approach Based on Kaniadakis κ-Gaussian Distribution for Inverse Problems Related to Wave Propagation. [PDF]

Entropy (Basel), 2023
da Silva SLEF, de Araújo JM, de la Barra E, Corso G.   +3 more
europepmc   +1 more source

Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution

, 2023
An analytical bias-corrected maximum likelihood estimation procedure and a bootstrap bias-corrected maximum likelihood estimation procedure are proposed for the inverse Gaussian distribution (IGD) to obtain more reliable maximum likelihood estimates ...
Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
core  

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

An overview of heavy-tail extensions of multivariate Gaussian distribution and their relations. [PDF]

J Appl Stat, 2022
Park S, Lim J.
europepmc   +1 more source

The Recti ed Gaussian Distribution

, 2008
A simple but powerful modi cation of the standard Gaussian distribution is studied. The variables of the recti ed Gaussian are constrained to be nonnegative, enabling the use of nonconvex energy functions.
D. D. Lee, N. D. Socci, H. S. Seung
core  

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Models for Heavy-tailed Asset Returns [PDF]

Many of the concepts in theoretical and empirical finance developed over the past decades – including the classical portfolio theory, the Black-Scholes-Merton option pricing model or the RiskMetrics variance-covariance approach to VaR – rest upon the ...
Rafal Weron, Szymon Borak, Adam Misiorek
core   +2 more sources

Generalised exponential-Gaussian distribution: a method for neural reaction time analysis. [PDF]

Cogn Neurodyn, 2023
Marmolejo-Ramos F, Barrera-Causil C, Kuang S, Fazlali Z, Wegener D, Kneib T, De Bastiani F, Martinez-Flórez G.   +7 more
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy. [PDF]

Entropy (Basel), 2022
Chen Y, Hua Z, Tang Y, Li B.
europepmc   +1 more source