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Sequence Classifiers in C# - Part I: Hidden Markov Models

, 3 Dec 2014 CPOL
Let's understand hidden Markov models before taking a step into hidden conditional random fields.
Resources
Accord.dll
Accord.MachineLearning.dll
Accord.Math.dll
Accord.Statistics.dll
AForge.dll
AForge.Math.dll
Gestures.exe
Gestures.vshost.exe
Gestures.vshost.exe.manifest
Externals
Accord.Controls.dll
Accord.dll
Accord.MachineLearning.dll
Accord.Math.dll
Accord.Statistics.dll
AForge.dll
AForge.Math.dll
Native
Properties
Gestures.csproj.user
Gestures.pidb
Gestures.suo
//------------------------------------------------------------------------------
// <auto-generated>
//     This code was generated by a tool.
//     Runtime Version:4.0.30319.269
//
//     Changes to this file may cause incorrect behavior and will be lost if
//     the code is regenerated.
// </auto-generated>
//------------------------------------------------------------------------------

namespace Gestures.Properties {
    
    
    [global::System.Runtime.CompilerServices.CompilerGeneratedAttribute()]
    [global::System.CodeDom.Compiler.GeneratedCodeAttribute("Microsoft.VisualStudio.Editors.SettingsDesigner.SettingsSingleFileGenerator", "10.0.0.0")]
    internal sealed partial class Settings : global::System.Configuration.ApplicationSettingsBase {
        
        private static Settings defaultInstance = ((Settings)(global::System.Configuration.ApplicationSettingsBase.Synchronized(new Settings())));
        
        public static Settings Default {
            get {
                return defaultInstance;
            }
        }
    }
}

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

César de Souza
Engineer Xerox Research Center Europe
Brazil Brazil
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.

If you would like to hire good developers to build your dream application, please check out DaitanGroup, one of the top outsourcing companies in Brazil. This company, located in Brazil's Sillicon Valley but with US-based offices, has huge experience developing telecommunications software for large and small companies worldwide.

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