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Brief Introduction to Statistical Machine Learning
2018In this chapter, an overview of the theory of probability, statistical and machine learning is made covering the main ideas and the most popular and widely used methods in this area. As a starting point, the randomness and determinism as well as the nature of the real-world problems are discussed.
Angelov, P.P., Gu, X.
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Querying the Web with Statistical Machine Learning
2014The traditional means of extracting information from the Web are keyword-based search and browsing. The Semantic Web adds structured information (i.e., semantic annotations and references) supporting both activities. One of the most interesting recent developments is Linked Open Data (LOD), where information is presented in the form of facts – often ...
Volker Tresp +2 more
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Machine Learning in Applied Statistics
Model Assisted Statistics and Applications, 2017Stan Lipovetsky, Jong Min Kim
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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 ...
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Machine learning: Trends, perspectives, and prospects
Science, 2015Michael I. Jordan, T. Mitchell
semanticscholar +1 more source
Advances in machine learning- and artificial intelligence-assisted material design of steels
International Journal of Minerals, Metallurgy, and Materials, 2023Guangfei Pan +9 more
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Cancer treatment and survivorship statistics, 2022
Ca-A Cancer Journal for Clinicians, 2022Kimberly D Miller +2 more
exaly
Useful Tools for Statistics and Machine Learning
2011As much as we would like to have analytical solutions to important problems, it is a fact that many of them are simply too difficult to admit closed-form solutions. Common examples of this phenomenon are finding exact distributions of estimators and statistics, computing the value of an exact optimum procedure, such as a maximum likelihood estimate ...
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Statistical Machine Learning for Complex Data
ETH Zürich Research Collection, 2023openaire +1 more source