Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Abstract: In essence, reinforcement learning (RL) solves optimal control problem (OCP) by employing a neural network (NN) to fit the optimal policy from state to action. The accuracy of policy ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
In this paper, a first attempt is made to formulate a spatial equilibrium quadratic programming problem in its primal and "purified" dual forms. This formulation is in sharp contrast to the quadratic ...
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Scientists asked ChatGPT to solve a math problem from more than 2,000 years ago — how it answered it surprised them
We've wondered for centuries whether knowledge is latent and innate or learned and grasped through experience, and a new research project is asking the same question about AI.
MIT License Copyright (c) 2025 rUv Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files ...
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