Accelerated Strategies Publishes Academic Research Validating HELOC-Based Mortgage Acceleration Strategy

New analysis provides mathematical and behavioral economics evidence supporting the accelerated payoff debt elimination ...
IEEE

High-Performance Halftoning with Binary Loss Optimization and Efficient Gradient Descent

Abstract: This paper presents a novel halftoning algorithm based on continuous relaxation and gradient-based optimization. By reformulating the original binary quadratic programming (BQP) problem into ...
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
IEEE

A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives

Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
Frontiers

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
marktechpost

This AI Paper Introduces Semantic Backpropagation and Gradient Descent: Advanced Methods for Optimizing Language-Based Agentic Systems

Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...