Accord.NET is a .NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications.
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Accord.NET Machine Learning Framework | accord-framework.net Reviews
https://accord-framework.net
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications.
accord-framework.net
GeneralizedLinearRegression Class
http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Regression_GeneralizedLinearRegression.htm
Accord.Statistics.Models.Regression. Generalized Linear Model Regression. Accord.Statistics.Models.Regression. Accord.Statistics.Models.Regression. Accord.Statistics.Models.Regression. Accord.Statistics (in Accord.Statistics.dll) Version: 3.0.2. Type exposes the following members. Creates a new Generalized Linear Regression Model. Creates a new Generalized Linear Regression Model. GeneralizedLinearRegression(ILinkFunction, Int32, Double). Creates a new Generalized Linear Regression Model. Creates a shall...
PolynomialRegression Class
http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Regression_Linear_PolynomialRegression.htm
Accord.Statistics.Models.Regression.Linear. Accord.Statistics.Models.Regression.Linear. Accord.Statistics.Models.Regression.Linear. Accord.Statistics (in Accord.Statistics.dll) Version: 3.0.2. Type exposes the following members. Creates a new Polynomial Linear Regression. Gets the coefficient of determination, as known as R (r-squared). Gets the coefficient of determination, as known as R (r-squared). Computes the regressed model output for the given input. Determines whether the specified Object. Gets t...
MultivariateLinearRegression Class
http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Regression_Linear_MultivariateLinearRegression.htm
Accord.Statistics.Models.Regression.Linear. Accord.Statistics.Models.Regression.Linear. Accord.Statistics.Models.Regression.Linear. Accord.Statistics (in Accord.Statistics.dll) Version: 3.0.2. Type exposes the following members. Creates a new Multivariate Linear Regression. Creates a new Multivariate Linear Regression. MultivariateLinearRegression(Int32, Int32, Boolean). Creates a new Multivariate Linear Regression. Gets the coefficient of determination, as known as R (r-squared). Of the current instance.
Accord.MachineLearning.VectorMachines Namespace
http://accord-framework.net/docs/html/N_Accord_MachineLearning_VectorMachines.htm
Accord.MachineLearning.VectorMachines Namespace. Contains classes related to Support Vector Machines. SVMs) Contains linear machines. SVM-DAGs (Directed Acyclic Graphs), multi-label classification. And also offers support for the probabilistic output calibration. Sparse Kernel Support Vector Machine (kSVM). One-against-one Multi-class Kernel Support Vector Machine Classifier. One-against-all Multi-label Kernel Support Vector Machine Classifier. Linear Support Vector Machine (SVM). A huge variety of kerne...
DecisionTree Class
http://accord-framework.net/docs/html/T_Accord_MachineLearning_DecisionTrees_DecisionTree.htm
Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.0.2. Type exposes the following members. Creates a new DecisionTree. To process the given inputs. And the given number of possible classes. Computes the tree decision for a given input. Computes the decision for a given input. Computes the tree decision for a given input. Determines whether the specified Object. Is equal to the current Object. Returns an enumerator that iterates through the tree. Of the current instance. Representation of ...
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How to fix blurry Windows Forms Windows in high-dpi settings – César Souza
http://crsouza.com/2015/04/how-to-fix-blurry-windows-forms-windows-in-high-dpi-settings
How to fix blurry Windows Forms Windows in high-dpi settings. April 13, 2015. If you have just opened one of your previous applications in your brand new computer with a very high-dpi monitor, perhaps you will find out that your interface that previously worked perfectly is now utterly broken and/or blurry. This might be the case, for example, if you just tried to open an old Windows.Forms application in your brand new Surface Pro computer. Same WinForms application after applying the fix detailed here.
Kernel Functions for Machine Learning Applications – César Souza
http://crsouza.com/2010/03/kernel-functions-for-machine-learning-applications
Kernel Functions for Machine Learning Applications. March 17, 2010. In recent years, Kernel methods have received major attention, particularly due to the increased popularity of the Support Vector Machines. Kernel functions can be used in many applications as they provide a simple bridge from linearity to non-linearity for algorithms which can be expressed in terms of dot products. In this article, we will list a few kernel functions and some of their properties. Choosing the Right Kernel. Between two v...
OxyPlot.Axes.LinearAxis is obsolete – César Souza
http://crsouza.com/2015/01/oxyplot-axes-linearaxis-is-obsolete
OxyPlot.Axes.LinearAxis is obsolete. January 10, 2015. Warning 461 ‘OxyPlot.Axes.LinearAxis.LinearAxis(OxyPlot.Axes.AxisPosition, double, double, string)’ is obsolete. If you try to use OxyPlot.Axes.LinearAxis. 8216; constructor with parameters. Through the constructor’s parameters. As such, the solution is simply to rewrite your code and call the axis’ default constructor instead, using C# object initialization syntax to configure your object:. Liblinear algorithms in C#. March 23, 2015 at 11:21 am.
Version invariant deserialization in .NET – César Souza
http://crsouza.com/2015/04/version-invariant-deserialization-in-net
Version invariant deserialization in .NET. April 5, 2015. If you have serialized an object using a previous version of a library or program, after you try to deserialize this object again you might encounter the following exception:. 8220;Exception has been thrown by the target of an invocation.”}. The inner exception might read:. In order to get around this, put the following static class into your application:. BinaryFormatter bf = new BinaryFormatter(); object o = bf.DeserializeAnyVersion(stream);.
Hidden Conditional Random Fields – César Souza
http://crsouza.com/2015/04/hidden-conditional-random-fields
Hidden Conditional Random Fields. April 9, 2015. If you are attempting to solve a sequence classification problem, perhaps you might be interested on learning about Hidden Conditional Random Fields (HCRFs). Those are the discriminant counterpart of classifiers based on a set of hidden Markov models (HMMs). Credit: theaucitron, wheat fields. And as mentioned in the tagline for this article, HCRFs are the discriminative doppelganger of the HMM classifier. Let’s see then how we can use them. If you would li...
Liblinear algorithms in C# – César Souza
http://crsouza.com/2014/12/liblinear-algorithms-in-c
Liblinear algorithms in C#. December 23, 2014. The Accord.NET Framework is not only an image processing and computer vision framework, but also a machine learning framework for .NET. One of its features is to encompass the exact same algorithms that can be found in other libraries, such as LIBLINEAR, but offer them in .NET withing a common interface ready to be incorporated in your application. Download the machine learning framework. Browse the source code online. The framework now offers almost. As it ...
Gaussian Mixture Models and Expectation-Maximization – César Souza
http://crsouza.com/2010/10/gaussian-mixture-models-and-expectation-maximization
Gaussian Mixture Models and Expectation-Maximization. October 18, 2010. Gaussian Mixture Models (GMM) can be regarded as a type of unsupervised learning. Methods. They are among the most statistically mature methods for clustering. But unlike K-Means, GMMs are able to build soft clustering boundaries, i.e., points in space can belong to any class with a given probability. Download sample application (with source code). Browse the sample application source code online. In statistics, a mixture model.
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Accord.NET Machine Learning Framework
Consult the .NET API. Machine learning made in a minute. The Accord.NET Framework. Is a NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications. Provide a fast start to get up and running quickly, and an extensive documentation and wiki. Tests; and t...
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