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. 

• 1333
  

  One-Tailed Distributions mixed with Gaussians

  
  Philip Carpenter Tuesday, June 26, 2012 9:56 PM
  Last Reply Tom MinkaMicrosoft EmployeeMonday, July 02, 2012 4:06 PM
 
• 1339
  

  Standard Deviation

  
  XardasM Thursday, June 21, 2012 10:09 AM
  Last Reply Tom MinkaMicrosoft EmployeeMonday, July 02, 2012 3:58 PM
 
• 2452
  

  How do I add multiple inputs in Bayes Point Machines? (in the infer.net example)

  
  Tramagust Wednesday, June 27, 2012 3:29 PM
  Last Reply Tramagust Thursday, June 28, 2012 9:26 PM
 
• 2379
  

  Weighted Least Squares

  
  Philip Carpenter Wednesday, June 20, 2012 1:38 AM
  Last Reply Philip Carpenter Tuesday, June 26, 2012 9:34 PM
 
• 1358
  

  how to call methods of variables' type class

  
  invisible911 Thursday, June 21, 2012 2:14 PM
  Last Reply Yordan ZaykovMicrosoft EmployeeFriday, June 22, 2012 10:19 AM
 
• 3542
  

  Can Infer.NET render the Bayesian graph from a model (like the WetGrass example)?

  
  mcorning Wednesday, May 16, 2012 5:41 AM
  Last Reply XardasM Thursday, June 21, 2012 9:50 AM
 
• 31110
  

  Simple Hidden Markov Model

  
  XardasM Monday, June 18, 2012 9:39 AM
  Last Reply XardasM Thursday, June 21, 2012 9:06 AM
 
• 2378
  

  Newbie question: Extract mean and variance from a gaussian(mean, variance)

  
  TixuOty Tuesday, June 19, 2012 8:49 AM
  Last Reply TixuOty Thursday, June 21, 2012 9:04 AM
 
• 3476
  

  Two streams of observations, one common influencing factor

  
  XardasM Monday, May 07, 2012 12:57 PM
  Last Reply XardasM Monday, June 18, 2012 1:21 PM
 
• 1439
  

  Differences Between Inference Engines in Regression Model

  
  Philip Carpenter Tuesday, June 12, 2012 10:42 PM
  Last Reply Tom MinkaMicrosoft EmployeeThursday, June 14, 2012 7:26 PM
 
• 1363
  

  Inspecting EP Evidence Contributions

  
  matthen Monday, June 11, 2012 4:18 PM
  Last Reply John Winn Wednesday, June 13, 2012 11:03 AM
 
• 5513
  

  Learning and prediction discrete model

  
  Alessandro La Torraca Tuesday, June 05, 2012 2:15 PM
  Last Reply John GuiverMicrosoft EmployeeTuesday, June 12, 2012 2:21 PM
 
• 5484
  

  Formulating a Conservation of Mass Balance Problem

  
  Ed Nicholas Monday, May 14, 2012 9:42 PM
  Last Reply Tom MinkaMicrosoft EmployeeFriday, June 08, 2012 10:42 AM
 
• 1370
  

  Correction to ( or confusion about) Infer.Net 101 CyclistMixed Chapter (p.41)

  
  lilinjn Friday, June 01, 2012 8:43 PM
  Last Reply Tom MinkaMicrosoft EmployeeWednesday, June 06, 2012 1:57 PM
 
• 5699
  

  MS embedding infer.NET

  
  dtosato Friday, April 27, 2012 10:03 AM
  Last Reply mcorning Wednesday, May 30, 2012 11:14 PM
 
• 2435
  

  OutOfMemory - Infer.Net

  
  Alessandro La Torraca Friday, May 25, 2012 2:22 PM
  Last Reply Alessandro La Torraca Monday, May 28, 2012 8:17 AM
 
• 2571
  

  Learning a Discrete distribution

  
  dtosato Tuesday, May 22, 2012 10:23 AM
  Last Reply dtosato Wednesday, May 23, 2012 2:27 PM
 
• 6476
  

  Constraining Bayesian Network using Jagged Array

  
  Rex Xia Friday, May 18, 2012 3:18 AM
  Last Reply Tom MinkaMicrosoft EmployeeSaturday, May 19, 2012 9:54 AM
 
• 1422
  

  broken link to simple(r) BGN example

  
  mcorning Wednesday, May 16, 2012 5:34 AM
  Last Reply John Winn Wednesday, May 16, 2012 10:39 AM
 
• 0405
  

  After install, Example Browser crashes

  
  mcorning Wednesday, May 16, 2012 1:42 AM