Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
In a recent study published in the journal Nature Aging, researchers in Singapore and the United States conducted comprehensive profiling of a longitudinal cohort (n = 108) using next-generation multi ...
ABSTRACT: This study compares the Adomian Decomposition Method (ADM) and the Variational Iteration Method (VIM) for solving nonlinear differential equations in engineering. Differential equations are ...
Forbes contributors publish independent expert analyses and insights. Steve Andriole writes about all things digital - and especially AI. “Linear thinking is a systematic and analytical thought ...
Abstract: As an important research direction of distributed intelligence, distributed non-cooperative game (DNCG) mainly involves algebraic graph theory, distributed learning, multi-agent system (MAS) ...
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