Infer.NET
Infer.NET is a .NET framework for machine learning. It provides state-of-the-art algorithms for probabilistic inference from data. Various Bayesian models such as Bayes Point Machine classifiers, TrueSkill matchmaking, hidden Markov models, and Bayesian networks can be implemented using Infer.NET.
Pemberitahuan
- Link
Infer.NET 2.5 Beta 2
John GuiverMicrosoft Employee25 April 2013 15:38Infer.NET 2.5 Beta 2 is now available. See the home page and the change history for details, or go directly to the download page.
Menyaring dan MengurutkanGunakan pilihan ini untuk mempersempit pertanyaan dan daftar diskusi.
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Modeling Additive Arrays
ML_GOI 05 Mei 2013 5:19 - 010

Problem with mono(Linux)
MarcoASDF 18 Mei 2013 12:33 - 238

Implementing TrueSkill with Fun
Dmitry Serdyuk 14 Mei 2013 10:38 - 016

Running infer.NET on mono
MarcoASDF 17 Mei 2013 15:05 - 015

Questions about the Recommender System Example
MarcoASDF 17 Mei 2013 9:22 - 248

F# TrueSkill
liminsac 13 Mei 2013 20:47 - 026

Ironpython import failure of specific submodules
ms02 15 Mei 2013 18:59 - 436

Improper distribution during inference... Error Recommender system example
MarcoASDF 14 Mei 2013 12:02 - 2700

BMP model (Migrated from community.research.microsoft.com)
Microsoft Research 03 Juni 2011 18:00 - 240

Problem in launch LDA Example
MarcoASDF 10 Mei 2013 17:52 - 362

Find a pattern out of time discret signal?
Jill_Jackton 10 Mei 2013 16:02 - 134

LDA postTheta values
chengkh 10 Mei 2013 22:21 - 244

Install Infer.NET on UBUNTU
MarcoASDF 10 Mei 2013 6:49 - 144

Dot Net 4.0 application for powershell fails to execute on Windows Server 2008 R2
Bharat Pawar 07 Mei 2013 11:37 - 1105

how to extend Click through model example to more than one rank list?
fancyerii 09 April 2013 3:06 - 4137

Result differences when using BPM and SparseBPM
NikolaLoncar 10 April 2013 21:51 - 1111

ImproperMessageException when add EqualConstrain
fancyerii 20 April 2013 16:45 - 3152

Compute the expected number of random events happened
Maxime Song 28 Maret 2013 3:43 - 156

LDA example - how to serialize/deserialize
Ian Holsman 26 April 2013 2:45 - 169

Does Infer.NET support the weight of input samples
Yun Fang 24 April 2013 9:29