Can robots write? Machine learning produces dazzling results, but some assembly is still required
You might have seen a recent article from The Guardian written by "a robot." Here's a sample:
Sep 18, 2020
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11
Machine learning & AI
News tagged with statistical model
Computer Sciences
Algorithm could quash Twitter abuse of women
Online abuse targeting women, including threats of harm or sexual violence, has proliferated across all social media platforms but QUT researchers have developed a statistical model to help drum it out of the Twittersphere.
Aug 28, 2020
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19
Computer Sciences
Cleaning up money laundering
Money laundering is big business but wholly illegal big business. It has an enormously negative impact on local, national, and international economies as well as providing the financial means to fund other criminal activities ...
Aug 10, 2020
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Engineering
Study identifies top reasons for sewer line failure
Concrete sewer pipes around the world are most likely to fail either because their concrete is not strong enough or because they can't handle the weight of trucks that drive over them, a new study indicates.
Jul 27, 2020
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2
Energy & Green Tech
New forecasting model improves solar panel performance
A new mathematical model for predicting variations in solar irradiance has been developed at Uppsala University. It may help to promote more efficient use of electricity from solar energy. In tests of various data models, ...
Jun 29, 2020
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Energy & Green Tech
Using AI to improve energy and resource efficiency in various industries
The power of machine learning in enhancing the quality of the manufacturing process is getting increasingly recognized. AI and machine learning have become popular tools for manufacturers to improve throughput and optimize ...
Apr 17, 2020
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4
Machine learning & AI
Algorithms help to find minimum energy paths and saddle points more effectively
Olli-Pekka Koistinen, doctoral candidate at Aalto University, developed machine-learning algorithms based on Gaussian process regression to enhance searches of minimum energy paths and saddle points, and tested how well the ...
Jan 8, 2020
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3
Computer Sciences
A new facial analysis method detects genetic syndromes with high precision and specificity
Each year, over a million children are born with a genetic disease. Although about half of genetic syndromes present facial dysmorphology, abnormal facial features are often subtle at birth and their identification by paediatricians ...
Nov 13, 2019
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Machine learning & AI
AI learns complex gene-disease patterns
Artificial intelligence (AI) is being harnessed by researchers to track down genes that cause disease. A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms ...
Sep 2, 2019
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Machine learning & AI
Portrait of a Google AI art project as a poetic you
Roses are red violets are blue, AI writing poems? Can't be true. Or can it? And if so, how low can we go in expectations? Brush low expectations aside for now, as Google is on to something special, and that is, AI for self-portrait ...
Statistical model
A statistical model is a set of mathematical equations which describe the behavior of an object of study in terms of random variables and their associated probability distributions. If the model has only one equation it is called a single-equation model, whereas if it has more than one equation, it is known as a multiple-equation model.
In mathematical terms, a statistical model is frequently thought of as a pair (Y,P) where Y is the set of possible observations and P the set of possible probability distributions on Y. It is assumed that there is a distinct element of P which generates the observed data. Statistical inference enables us to make statements about which element(s) of this set are likely to be the true one.
Three notions are sufficient to describe all statistical models.
One of the most basic models is the simple linear regression model which assumes a relationship between two random variables Y and X. For instance, one may want to linearly explain child mortality in a given country by its GDP. This is a statistical model because the relationship need not to be perfect and the model includes a disturbance term which accounts for other effects on child mortality other than GDP.
As a second example, Bayes theorem in its raw form may be intractable, but assuming a general model H allows it to become
which may be easier. Models can also be compared using measures such as Bayes factors or mean square error.
This text uses material from Wikipedia, licensed under CC BY-SA
