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_Build 2.15.0.5233, released on 01.05.2014_\r\n\r\nAccord.NET Framework 2.15.0 release notes\r\n-----------------------------------------\r\n01.05.2015.\r\n\r\nVersion updates and fixes:\r\n  - GC-56:  Reuse decision attributes in the C4.5 algorithm for decision trees;\r\n  - GC-109: The GoldfarbIdnani optimizer does not optimize well some problems;\r\n  - GH-24:  Disentangling unit test projects and adding a LGPL-only project;\r\n  - GH-57:  Decision trees created using C4.5 depends on the sorting order;\r\n  - GH-58:  SURF detector might generate Divide By Zero exceptions;\r\n  - GH-60:  Regularization breaks LogisticRegressionAnalysis in 2.14;\r\n  - GH-61:  SVM code that worked with version 2.11 now fails to converge;\r\n  - GH-64:  Exception in KPCA when using jagged matrices;\r\n  - GH-69:  Fix K-Means deserialization between framework versions.\r\n  \r\n* General\r\n  - Upgrading solution to VS2013 and adding support for .NET 4.5;\r\n  - Packaging scripts can now create NuGet symbol packages;\r\n  - The framework can now be built using Mono.\r\n\r\n* Accord.Statistics\r\n  - Correcting Circular statistics' AngularDeviation method;\r\n  - Correcting kernel profile functions and their gradient;\r\n  - Improving the precision of the Binomial distribution;\r\n  - Improving sample generation for Poisson and Rayleigh distributions;\r\n  - Updating all univariate distributions to support sample generation;\r\n  - Making sure all probability distributions implement IFormattable;\r\n  - Adding Generalized Beta distribution with PERT estimation;\r\n  - Adding the von-Mises Fisher distribution for circular data;\r\n  - Adding sample generation in Beta and Generalized Beta distributions;\r\n  - Adding estimation using the Method-of-moments and Maximum Likelihood;\r\n  - Adding support for weighted samples in LogisticRegressionAnalysis;\r\n  - Adding a named constructor to create an Analysis from summary data;\r\n  - Adding all missing Shapiro-Wilk distribution's methods;\r\n  - Adding a common interface for radial basis function kernels;\r\n  - Adding a new generic Gaussian kernel for creating composite kernels;\r\n  - Adding a Windowing filter in the Statistics filters namespace;\r\n  - Adding support for weighted samples in LogisticRegressionAnalysis;\r\n  - Adding a named constructor to create an Analysis from summary data;\r\n  - Adding Multinomial Logistic Regression Analysis.\r\n\r\n* Accord.Math\r\n  - Updating Augmented Lagragian to detect more accurately \r\n    when the inner optimization algorithm has diverged;\r\n  - Adding a new Fast Fourier Transform (FFT) implementation for general \r\n    matrices and vectors whose dimensions are not necessarily powers of 2;\r\n  - Adding Hellinge and Levenshtein distances for generic arrays;\r\n  - Adding jagged-matrix version of the QR and Eigenvalue decompositions.\r\n\r\n* Accord.MachineLearning\r\n  - Updating tree inducing algorithms (ID3 and C4.5) se they can reuse\r\n    decision variables multiple times when creating a decision tree;\r\n  - Correcting Levenberg-Marquardt's chain-rule Jacobian calculation \r\n    when there are many output neurons in the learned neural network;\r\n  - Updating the way SVM learning algorithms detect whether a machine is linear or not;\r\n  - Updating SVM learning algorithms to use an heuristic value for \r\n    C by default unless it has been manually specified by the user;\r\n  - Updating the linear kernels so they are created without a constant term by default;\r\n  - Improving multi-class SVM to generate more user-friendly stack traces when\r\n    an exception occurs during the learning of one of the binary sub-problems;\r\n  - Updating Kd-Trees to use interval heaps instead of general .NET structures;\r\n  - Adding Nu-SVMs based on LibSVM's quadratic programming solver.\r\n\r\n* Accord.Neuro\r\n  - Updating Levenberg-Marquardt to avoid setting lambda to zero. \r\n\r\n* Accord.Imaging\r\n  - Updating IntegralImage to work with In64 matrices to avoid overflows;\r\n  - Correcting Variance, Sauvola and Niblack threshold filters;\r\n  - Adding Fast Variance, Wolf-Joulion Threshold, RG Chromaticity and \r\n    Objective fidelity filters.\r\n\r\n* Accord.IO\r\n  - Integrating and repackaging Sebastien Lorion's Fast CSV Reader into the Accord.IO\r\n    namespace with an added support for auto-detecting the file's field delimiter.\r\n\r\n* Accord.Audio\r\n  - Adding IWindow apply overloads to operate directly on double[] vectors;\r\n  - Adding Sine and Custom signal generators and correcting existing ones.\r\n  \r\n* Sample applications\r\n  - Adding feature selection sample application using L1-regularized logistic SVMs;\r\n  - Correcting the display of all sample applications in high-DPI displays."}}