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.
The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...
Abstract: This article proposes a distributed stochastic projection-free algorithm for large-scale constrained finite-sum optimization whose constraint set is complicated such that the projection onto ...
Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing. This evocative phrase comes from a 2021 paper co-authored ...
Abstract: Multiple unmanned aerial vehicle (Multi-UAV) cooperative area search is an important and effective means of intelligence acquisition and disaster rescue. Search path planning is a critical ...
As chest X-rays of Covid-19 patients began to be published in radiology journals, AI researchers put together an online database of the images and started experimenting with algorithms that could ...
ABSTRACT: Both the modeling and the load regulation capacity prediction of a supercritical power plant are investigated in this paper. Firstly, an indirect identification method based on subspace ...
Stochastic volatility models are increasingly important in practical derivatives pricing applications, yet relatively little work has been undertaken in the development of practical Monte Carlo ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results