We consider the problem of modeling the mean function in regression. Often there is enough knowledge to model some components of the mean function parametrically. But for other vague and/or nuisance ...
Partially linear models provide a useful class of tools for modeling complex data by naturally incorporating a combination of linear and nonlinear effects within one framework. One key question in ...
SHENZHEN, China, May 12, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a groundbreaking ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Researchers at the University of California San Diego were selected for a $5 million award from the U.S. Department of Energy ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
2don MSN
Celestial mechanics: Analytical model reveals true cause of orbit bifurcations near Lagrange points
Advanced space travel relies on a fundamental understanding of the restricted three-body problem (RTBP), in which one of the ...
Effectiveness of Adjuvant Chemotherapy After Radical Nephroureterectomy for Locally Advanced and/or Positive Regional Lymph Node Upper Tract Urothelial Carcinoma This analysis included 502,321 ...
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