Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: Reliable channel state information (CSI) is a critical enabler for low-power Internet of Things (IoT) links and emerging 6G edge devices, where receivers must operate under tight ...

Abstract: This paper studies a quantization problem between an encoder and a decoder with misaligned objectives, where the quantization indices are transmitted over a noisy channel. Building on the ...

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...

Introduction: The air puff test is a contactless tonometry test used to measure the intraocular pressure and the cornea’s biomechanical properties. Limitations that most challenge the accuracy of the ...

This repository contains the code and pretrained models for "Learning-Based Reconstruction of FRI Signals" (TSP' 23; arxiv). The code consists of two different learning-based FRI models: Deep Unfolded ...

This paper deals with an optimal control problem associated with the Kuramoto model describing the dynamical behavior of a network of coupled oscillators. Our aim is to design a suitable control ...

In this paper, a modified Polak-Ribière-Polyak conjugate gradient projection method is proposed for solving large scale nonlinear convex constrained monotone equations based on the projection method ...

Due to the influence of processing technology and environmental factors, there are errors in attitude measurement with the three-axis magnetometer, and the change of parameters during the operation of ...