Search results
Results From The WOW.Com Content Network
dotnet.github.io /infer / Infer.NET is a free and open source .NET software library for machine learning . [ 2 ] It supports running Bayesian inference in graphical models and can also be used for probabilistic programming .
The following table lists the .NET implementations that adhere to the .NET Standard and the version number at which each implementation became compliant with a given version of .NET Standard. For example, according to this table, .NET Core 3.0 was the first version of .NET Core that adhered to .NET Standard 2.1.
Specify that the subsequent array address operation performs no type check at runtime, and that it returns a controlled-mutability managed pointer. Prefix to instruction 0xFE 0x1D refanytype: Push the type token stored in a typed reference. Object model instruction 0xC2 refanyval <type> Push the address stored in a typed reference.
Version 5.0.0 was released on August 11, 2012 [11] and is targeted at .NET framework 4.5. Also, this version is available for .Net framework 4, but without any runtime advantages over version 4. Version 6.0 was released on October 17, 2013 [12] and is now an open source project licensed under Apache License v2.
In statistics, the reference class problem is the problem of deciding what class to use when calculating the probability applicable to a particular case.. For example, to estimate the probability of an aircraft crashing, we could refer to the frequency of crashes among various different sets of aircraft: all aircraft, this make of aircraft, aircraft flown by this company in the last ten years ...
They developed a set of 8,869 semantic relations and 10,675 syntactic relations which they use as a benchmark to test the accuracy of a model. When assessing the quality of a vector model, a user may draw on this accuracy test which is implemented in word2vec, [ 28 ] or develop their own test set which is meaningful to the corpora which make up ...
For the case of a single parameter and data that can be summarised in a single sufficient statistic, it can be shown that the credible interval and the confidence interval coincide if the unknown parameter is a location parameter (i.e. the forward probability function has the form (|) = ()), with a prior that is a uniform flat distribution; [6 ...
Probability distributions: discrete, continuous and multivariate. Pseudo-random number generation, including Mersenne Twister MT19937. Real and complex linear algebra types and solvers with support for sparse matrices and vectors. LU, QR, SVD, EVD, and Cholesky decompositions.