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Machine Learning in Applied Statistics

Model Assisted Statistics and Applications, 2017
Stan Lipovetsky, Jong Min Kim
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Statistical Machine Learning and Computational Biology

2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007
Statistical 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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Useful Tools for Statistics and Machine Learning

2011
As 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, 2023
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Statistical Machine Learning and Combinatorial Optimization

2001
In this work we apply statistical learning methods in the context of combinatorial optimization, which is understood as finding a binary string minimizing a given cost function. We first consider probability densities over binary strings and we define two different statistical criteria.
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Machine Learning, Neural, and Statistical Classification.

Journal of the American Statistical Association, 1995
Bill Fulkerson   +3 more
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Statistical physics and machine learning

2011
Attilio Giordana   +2 more
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Statistical Machine Learning for Intelligent Operations

SPE Middle East Oil and Gas Show and Conference, 2019
Mohammed Al-Ghazal, Viranchi Vedpathak
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