From public health campaigns to information about social services, algorithms that identify “influencers” have been used to maximize reach. Vedran Sekara and colleagues used the independent cascade ...
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
VISTA, Calif.--(BUSINESS WIRE)--Flux Power Holdings, Inc. (NASDAQ: FLUX), a leading developer of advanced lithium-ion energy storage solutions and software-driven electrification for commercial and ...
Abstract: Non-Gaussian and multimodal distributions are an important part of many recent robust sensor fusion algorithms. In difference to robust cost functions, they are probabilistically founded and ...
ABSTRACT: The excessive computational burden encountered in power market analysis has necessitated the need for obtaining reduced equivalent networks that preserve flows along certain selected lines ...
Please see our online documentation here. This document provides only a brief overview. As an additional resource a web interface is provided, including an example dataset, here. Expectation ...
Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...
Dive into the history, metrics and best practices behind Google’s page experience update and its implications for SEO in 2025. Google’s page experience update set a new benchmark for creating ...
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