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.
Menyaring dan MengurutkanGunakan pilihan ini untuk mempersempit pertanyaan dan daftar diskusi.
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Sentiment Analysis with Infer.NET
Ivan13P 18 Januari 2013 12:24 - 1282

Forward-Backward Passes in Online Learning
MikeSc123 18 Januari 2013 5:48 - 1362

Distribute DLLs for academic use
Steffen CMB 29 Januari 2013 10:20 - 1297

Infer.NET 101 -- example with two cyclists
damirah 28 Januari 2013 16:15 - 2302

Calculating mean and variance of a data set
damirah 16 Januari 2013 11:16 - 1362

infer.NET 2.5 in Windows XP, Visual C# 2008
fl0m0 08 Januari 2013 22:02 - 2300

Broken Links
rherbrich 19 Desember 2012 20:25 - 1250

Sum elements of jagged array VariableArray<VariableArray<int>, int[][]>
Farhan Khawar 03 Januari 2013 8:56 - 1307

Locale problem (Turkish) in some examples
Koray Balci 25 Desember 2012 19:26 - 202152

Example of Bayesian network (Migrated from community.research.microsoft.com)
Microsoft Research 03 Juni 2011 17:43 - 1285

Question of possible application...
Robert Depin 13 Desember 2012 17:14 - 2966

License Question (Migrated from community.research.microsoft.com)
Microsoft Research 03 Juni 2011 18:02 - 1268

Problems in 2D/3D
Lior Shapira 03 Desember 2012 22:30 - 9463

How to include more outcomes for BPM?
Atarax 11 Nopember 2012 20:29 - 3455

Having trouble using Infer.NET to Decode an LDPC codeword
Shawn Hershey 19 September 2012 18:50 - 3357

newbie question: estimate parentage in pedigree
RvBerloo 06 Nopember 2012 14:49 - 7358

Unhandled Exception - ArgumentException variance < 0 (-2.71050543121376E-20)
DriveBlind 21 Oktober 2012 19:59 - 5390

INFER 101 Sample 5 Question
DriveBlind 14 Oktober 2012 9:06 - 1505

Newbie question on Probability - Wet Grass/Sprinkler/Rain Model
Trossachs 15 Oktober 2012 9:00 - 1342

Multi-variate Linear regression problem
Suresh Gorakala 14 Oktober 2012 5:12