This article aims to present the reader to the current workings of the Accord.NET Machine Learning Framework; show where the sequences classifiers are located within the framework, describe their source code, how the Markov namespace is organized and the general ideas behind this organization. This will also provide the base to talk about Hidden Conditional Random Fields, which is my main goal in this series.
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using System.Reflection;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
// General Information about an assembly is controlled through the following
// set of attributes. Change these attribute values to modify the information
// associated with an assembly.
[assembly: AssemblyTitle("Gestures")]
[assembly: AssemblyDescription("Gestures Sample Application")]
[assembly: AssemblyConfiguration("")]
[assembly: AssemblyCompany("Accord.NET")]
[assembly: AssemblyProduct("Accord.NET Framework")]
[assembly: AssemblyCopyright("Copyright © César Souza, 2009-2013")]
[assembly: AssemblyTrademark("")]
[assembly: AssemblyCulture("")]
// Setting ComVisible to false makes the types in this assembly not visible
// to COM components. If you need to access a type in this assembly from
// COM, set the ComVisible attribute to true on that type.
[assembly: ComVisible(false)]
// The following GUID is for the ID of the typelib if this project is exposed to COM
[assembly: Guid("b10c2754-2947-4438-8c4f-77dea7a0d835")]
// Version information for an assembly consists of the following four values:
//
// Major Version
// Minor Version
// Build Number
// Revision
//
[assembly: AssemblyVersion("1.0.0.0")]
[assembly: AssemblyFileVersion("1.0.0.0")]
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Computer and technology enthusiast, interested in artificial intelligence and image processing. Has a Master's degree on Computer Science specialized on Image and Signal Processing, with expertise on Machine Learning, Computer Vision, Pattern Recognition and Data Mining systems. Author of the
Accord.NET Framework for developing scientific computing applications.
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