Titlebook: Mathematical Problems in Data Science; Theoretical and Prac Li M. Chen,Zhixun Su,Bo Jiang Book 2015 Springer International Publishing Switz

Incorporate

Machine Learning for Data Science: Mathematical or Computationalet is used to verify the model. In general, a machine learning method requires an iterated process for reaching a goal. Machine learning is one of the research areas in artificial intelligence. Machine learning is mainly used to solve problems in classification and clustering. The distinction is tha

明智的人

Images, Videos, and BigData% of their storage. Therefore, data processing related to images is an essential topic in data science. The tasks concerning images and videos are mainly object search, recognition, and tracking. Current and future applications of images and videos include security and surveillance, medical imaging,

DECRY

Topological Data Analysis Modern data science also uses topological methods to find the structural features of data sets. In fact, topological methods should be the first step before the classification method is applied in most cases. Persistent homology is the most successful method for finding the topological structure of

驾驶

Monte Carlo Methods and Their Applications in Big Data Analysisfirst review the fundamental principles of Monte Carlo methods. Then, we describe several popular variance reduction techniques, including stratified sampling, control variates, antithetic variates, and importance sampling, to improve Monte Carlo sampling efficiency. Finally, application examples of

生锈

Feature Extraction via Vector Bundle Learningidered as the intrinsic structure to extract features from high dimensional data. By defining a manifold to model the structure of sample set, features sampled from each fibre of a vector bundle can be obtained by metric learning on the manifold. A number of existing algorithms can be reformulated a

荨麻

Calculus

设施

An On-Line Strategy of Groups Evacuation from a Convex Region in the Plane information completely. We seek strategies that achieve a bounded ratio of evacuation path length, without any knowledge of boundary information. We restrict the affected area to a convex region in the plane, and present a .-competitive strategy for . groups of evacuees (. ≥ 3). The performance of

六边形

A New Computational Model of Bigdatat be done with such a model? These are questions demanding answers. Recently, a model was proposed to address this issue by simulating a restricted version of the PRAM model. In this paper, we propose a theoretical model called Master/Slave Multiprocessor (MSM for short) which is very similar to a p

雕镂

c. In Brazil, one of the primary sources of misinformation is the messaging application WhatsApp. Thus, the automatic misinformation detection (MID) about COVID-19 in Brazilian Portuguese WhatsApp messages becomes a crucial challenge. Recently, some works presented different MID approaches for this