Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
Abstract: Vision Foundation Models (VFMs) and Vision-Language Models (VLMs) have gained traction in Domain Generalized Semantic Segmentation (DGSS) due to their strong generalization capabilities 1.
This repository hosts the architecture, interpretive layers, and stewardship model. It is designed to be implemented, interpreted, and evolved—recursively, relationally, and with care. This paper ...
A powerful Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, designed to analyze and answer questions about flowcharts, block diagrams, and various document types.