Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...
Scleroderma is a rare autoimmune disease involving an overproduction of the protein collagen. Linear scleroderma usually begins as a streak of hardened, waxy, discolored skin on the forehead, an arm, ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
A line of Nippon Pulse’s linear shaft motors that features analog Hall effect sensors to enable closed-loop positioning without a linear encoder. Linear motors can be described as uncurled 3-phase ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Abstract: In this paper, we design a distributed scheme for dynamic online linear regression over unbalanced communication graphs. Firstly, we introduce the push-pull based method for the dynamic ...
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