Results 301 to 310 of about 2,065,553 (347)

Machine and Statistical Learning

2017
Databases and big data are used for constructing models to have a better understanding of the data, or to make decisions. Machine and statistical learning offer tools for this purpose. In this chapter we review some of the methods in these areas that are of relevance in this book.
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An application of machine learning and statistics to defect detection

Intelligent Data Analysis, 2001
We present an application of machine learning and statistics to the problem of distinguishing between defective and non-defective industrial workpieces, where the defect takes the form of a long and thin crack on the surface of the piece. From the images of pieces a number of features are extracted by using the Hough transform and the Correlated Hough ...
CUCCHIARA R, MELLO P, PICCARDI M, RIGUZZI, Fabrizio   +3 more
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Introduction to Statistical and Machine Learning Algorithms

2014
This chapter will serve as a reference for some of the most commonly used algorithms in Microsoft Azure Machine Learning. We will provide a brief introduction to algorithms such as linear and logistic regression, k-means for clustering, decision trees, decision forests (random forests, boosted decision trees, and Gemini), neural networks, support ...
Wee Hyong Tok, Valentine Fontama, Roger Barga   +2 more
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Statistical Machine Learning

2023
Torres Torriti, Miguel, Calderara Cea, Felipe Antonio   +1 more
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Machine Learning and Statistics Overview

2011
This chapter is aimed at establishing the conceptual foundation of the relevant aspects of machine learning and statistics on which the book rests. This very brief overview is in no way exhaustive. Rather, our main aim is to elucidate the relationship of these concepts to the performance evaluation of learning algorithms. The chapter is composed of two
Nathalie Japkowicz, Mohak Shah
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Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.

Science of the Total Environment, 2020
R. Costache, D. Tien Bui
semanticscholar   +1 more source

Statistical machine learning

2019
AbstractThis chapter describes in detail how the main techniques of statistical machine learning can be constructed from the components described in earlier chapters. It presents these concepts in a way which demonstrates how these techniques can be viewed as special cases of a more general probabilistic model which we fit to some data.
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Statistical thinking, machine learning

Journal of Clinical Epidemiology, 2019
Iain Buchan, Yi Guo, Jian-Guo Bian, Mattia Prosperi   +3 more
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Statistical Correlations and Machine Learning for Steganalysis

2005
In this paper, we present a scheme for steganalysis based on statistical correlations and machine learning. In general, digital images are highly correlated in the spatial domain and the wavelet domain; hiding data in images will affect the correlations.
Andrew H. Sung, Qingzhong Liu, Bernardete Ribeiro   +2 more
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Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence

Geometric Structures of Information, 2018
M. Broniatowski, W. Stummer
semanticscholar   +1 more source