Titlebook: Computational Science and Its Applications – ICCSA 2020; 20th International C Osvaldo Gervasi,Beniamino Murgante,Yeliz Karaca Conference pr

AMPLE

irreparable

ASSET

John P. Klein,Melvin L. MoeschbergerInternet of Things (IoT) are continuously producing massive amounts of data. Due to limited resources, it is no longer feasible to persistently store all that data which leads to massive data streams. In order to meet the requirements of modern businesses, techniques have been developed to deal with

广告

调色板

Foregery

Max Engelhardt,Lee J. Bain,Saul Blumenthalmpares the impacts of two statistical and two machine learning imputation techniques when classifying breast cancer patients, using several evaluation metrics. Mean, Expectation-Maximization (EM), Support Vector Regression (SVR) and K-Nearest Neighbor (KNN) were applied to impute 18% of missing data

概观

隐语

Survival Analysis: State of the Artdecision-making process, and to process, categorize and make them available in a useful form for the ultimate purpose of the user request. The platform is equipped with natural language understanding capabilities, allowing the interpretation of user requests and the identification of information sou

保守

Bruce M. Hill,Steven Maceachernnline sites selling products and services provide users with RSs that can assist them in their online experience. In recent years, therefore, we have witnessed an impressive series of proposals for novel recommendation techniques that claim to ensure significative improvements compared to classic te

Deadpan

Organisation einer psychiatrischen Station,spiration have recently shown promising results in automatically designing neural network architectures. However, apart from back-propagation, only a few applications of other learning techniques are used for these purposes. The back-propagation process takes advantage of specific optimization techn