Results 171 to 180 of about 160,416 (217)
Some of the next articles are maybe not open access.
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.
openaire +1 more source
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.
openaire +1 more source
Statistical Machine Learning and Computational Biology
2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007Statistical machine learning is a field that combines algorithmic ideas with foundational concepts from probability and statistics. This combination makes statistical machine learning an essential tool for computational biology, in part because probabilistic notions are inherent in biology (arising, e.g., via thermodynamics, recombination and germline ...
openaire +1 more source
Parameter Identifiability in Statistical Machine Learning: A Review
Neural Computation, 2017This review examines the relevance of parameter identifiability for statistical models used in machine learning. In addition to defining main concepts, we address several issues of identifiability closely related to machine learning, showing the advantages and disadvantages of state-of-the-art research and demonstrating recent progress.
Zhi-Yong Ran, Bao-Gang Hu
openaire +3 more sources
An application of machine learning and statistics to defect detection
Intelligent Data Analysis, 2001We 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 +3 more
openaire +3 more sources
Machine and Statistical Learning
2017Databases 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.
openaire +1 more source
Statistical Machine Learning for Researchers
2023This workshop is designed to empower researchers with the fundamentals of machine learning using R. Participants will learn the key principles that make machine learning so effective, powering the modern AI and deep learning revolution. Through hands-on exercises, participants will gain experience applying a variety of flexible and scalable statistical
openaire +1 more source
Machine Learning in Applied Statistics
Model Assisted Statistics and Applications, 2017Stan Lipovetsky, Jong-Min Kim
openaire +1 more source
Statistical thinking, machine learning
Journal of Clinical Epidemiology, 2019Jiang, Bian +3 more
openaire +2 more sources