Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...
Amid the global surge in rapid advancements in artificial intelligence, the healthcare sector is entering a critical phase of intelligent transformation. As a vital tool in clinical diagnosis, ...
The Annals of Statistics, Vol. 49, No. 5 (October 2021), pp. 2531-2551 (21 pages) Proposed by Donoho (Ann. Statist. 25 (1997) 1870–1911), Dyadic CART is a nonparametric regression method which ...
Statistical learning is evolving quickly, with increasingly sophisticated models seeking to incorporate the complicated data structures from modern scientific and business problems. Varying-index ...
Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Phase II Trial of Cisplatin, Gemcitabine, and Intensity-Modulated Radiation Therapy for Locally Advanced Vulvar Squamous Cell Carcinoma: NRG Oncology/GOG Study 279 Consecutive patients with head and ...
2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.
Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.
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Can Microsoft's analog optical computer be the answer to more energy-efficient AI and optimization tasks?
The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...
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