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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.
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How to use posterior for testing in the LDA model
Latest post
by
shakey
, 11-21-2009 11:52 PM
2
error occurs when constructing a lda model with simple corpus
Latest post
by
msdy
, 11-13-2009 9:47 PM
1
,
2
22
A Question about "ConstrainEqualRandom"
Latest post
by
minka
, 11-11-2009 12:13 PM
7
Factor Graphs control
Latest post
by
Valmir Meneses
, 11-10-2009 1:24 PM
0
A question about LDA extention
Latest post
by
msdy
, 10-26-2009 6:37 PM
10
Binary Logistic Regression
Latest post
by
John Guiver
, 10-26-2009 5:48 AM
1
A question about gaussian mixture models
Latest post
by
euclid
, 10-20-2009 10:26 AM
6
Belief propagation with Infer.net
Latest post
by
amchiclet
, 10-18-2009 11:19 PM
2
MRF and Infer.NET
Latest post
by
jwinn
, 10-18-2009 6:16 PM
2
SharedVariableArray
Latest post
by
John Guiver
, 10-05-2009 4:01 AM
1
infer.net error on mono
Latest post
by
hrotsos
, 09-26-2009 3:16 PM
2
dirichlet with non uniform prior
Latest post
by
John Guiver
, 08-22-2009 3:37 AM
1
Need help for a Bayesian Network Code
Latest post
by
freddycct
, 08-14-2009 9:45 PM
2
Re: Adding a new factor
Latest post
by
julia
, 08-13-2009 6:29 AM
0
Adding a factor
Latest post
by
julia
, 08-13-2009 5:13 AM
0
New release: Infer.NET 2.3 beta 1
Latest post
by
jwinn
, 08-12-2009 6:07 PM
0
problem with Variable.Array<VectorGaussian>
Latest post
by
minka
, 08-12-2009 11:56 AM
1
Infer.NET: Bayesian logistic regression
Latest post
by
minka
, 08-12-2009 11:35 AM
1
,
2
23
Specifying large Conditional Probability Tables of discrete events
Latest post
by
freddycct
, 08-12-2009 6:48 AM
3
Probability Density Function, Integration, Area under Curve, Continuous...
Latest post
by
minka
, 08-11-2009 3:56 AM
1
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Infer.NET is a .NET framework for machine learning. It provides state-of-the-art algorithms for probabilistic...
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