Analytical Tools for Natural Algorithms
نویسنده
چکیده
We introduce an analytical tool to study the convergence of bidirectional multiagent agreement systems and use it to sharpen the analysis of various natural algorithms, including flocking, opinion consensus, and synchronization systems. We also improve classic bounds about colored random walks and discuss the usefulness of algorithmic proofs.
منابع مشابه
Analyzing Tools and Algorithms for Privacy Protection and Data Security in Social Networks
The purpose of this research, is to study factors influencing privacy concerns about data security and protection on social network sites and its’ influence on self-disclosure. 100 articles about privacy protection, data security, information disclosure and Information leakage on social networks were studied. Models and algorithms types and their repetition in articles have been distinguished a...
متن کاملPentaho + R: An Integral View for Multidimensional Prediction Models
The integration of multidimensional data and machine learning seems to be natural in the area of business intelligence. On-Line Analytical Processing (OLAP) tools are frequent in this area where the data are usually represented in multidimensional datamarts and data mining tools are integrated in some of these tools. However, the efforts for a full integration of data mining and OLAP tools have...
متن کاملAdvancing research in second language writing through computational tools and machine learning techniques : A research agenda
Scott A. Crossley Georgia State University, Atlanta, Georgia USA scrossleygsu.edu Abstract: This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, the paper introduces a variety of available NLP tools and machine learning algorithms and demonstrates how t...
متن کاملOptimal Choice of Random Variables in D-ITG Traffic Generating Tool using Evolutionary Algorithms
Impressive development of computer networks has been required precise evaluation of efficiency of these networks for users and especially internet service providers. Considering the extent of these networks, there has been numerous factors affecting their performance and thoroughly investigation of these networks needs evaluation of the effective parameters by using suitable tools. There are se...
متن کاملComparison of different algorithms for land use mapping in dry climate using satellite images: a case study of the Central regions of Iran
The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral anglemapper (SAM), and support vector machine (SVM) were...
متن کامل