This paper deals with the convergence acceleration of iterative nonlinear methods. An effective iterative algorithm, named the three-point method, is applied to nonlinear analysis of structures. In ...

Abstract: Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given item. Kernel Mapping Recommender (KMR) system ...

Abstract: The Broad Learning System (BLS) has been established as an effective flat network alternative to Deep Neural Networks (DNNs), delivering high efficiency while achieving competitive accuracy.

In this paper, the authors describe the incremental behaviors of density based clustering. It specially focuses on the Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm ...

Google’s John Mueller was recently asked about the March core algorithm update and whether it softened the impact of previous updates. Many sites that saw a decline in rankings after algorithm updates ...

Multi-Armed Bandit (MAB) algorithms are widely used in recommender systems that require continuous, incremental learning. A core aspect of MABs is the exploration–exploitation trade-off: choosing ...

How do you change data in a running program? Incremental change propagation and the .NET library NMF Expressions help with this complex problem. Georg Hinkel forscht und lehrt an der Hochschule ...