Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
IEEE

Adaptive Powerball Stochastic Conjugate Gradient for Large-Scale Learning

Abstract: The extreme success of stochastic optimization (SO) in large-scale machine learning problems, information retrieval, bioinformatics, etc., has been widely reported, especially in recent ...
IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
Scientific Research Publishing

Kingma, D.P. and Ba, J. (2015) Adam: A Method for Stochastic Optimization. arXiv: 1412.6980.

ABSTRACT: This paper develops a fuzzy stochastic volatility framework for pricing and calibrating copper futures contracts under parameter uncertainty. The classical Heston model is extended by ...