In this work, we propose a construction of quantum obfuscation for quantum non-linear functions and give the concrete circuits of obfuscation for two specific quantum non-linear functions. Moreover, ...

The function-on-function linear model in functional data analysis (a branch of statistics) is insufficient to capture complex correlations among the considered time series and suffer from ...

Basis functions with linear variations are investigated in terms of the accuracy of the magnetic field integral equation (MFIE) and the combined-field integral equation (CFIE), on the basis of recent ...

Classroom Resources / Illuminations 7.5.1 Exploring Linear Functions: Representational Relationships Grade: Technology allows the linking of multiple representations of mathematical situations and the ...

Generalized additive models (GAM) were applied to model non-linear relationships, and threshold effects were evaluated using two-piece-wise linear regression. Mediation analysis quantified the ...

In today's deep learning community, three activation functions are commonly used: the sigmoid function, the tanh function and the Rectified Linear Unit, or ReLU for short. When you're building a deep ...