Titlebook: Soft Methods for Data Science; Maria Brigida Ferraro,Paolo Giordani,Olgierd Hryni Conference proceedings 2017 Springer International Publi

JADED

赤字

cancer

Multiple

贸易

食道

冒烟

Maximum Likelihood Under Incomplete Information: Toward a Comparison of Criteria,e or contain imprecise data, depending on the purpose, a major issue is to properly define the likelihood function to be maximized. This paper compares several proposals in terms of their intuitive appeal, showing their anomalous behavior on examples.

Intractable

The Use of Uncertainty to Choose Matching Variables in Statistical Matching,y based on a set of common variables shared by the available data sources. For matching purposes just a subset of all the common variables should be used, the so called matching variables. The paper presents a novel method for selecting the matching variables based on the analysis of the uncertainty

radiograph

2194-5357 gramming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science..978-3-319-42971-7978-3-319-42972-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

马笼头