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.
- 1426

broken link to simple(r) BGN example
mcorning 16 Mei 2012 5:34 - 0413

After install, Example Browser crashes
mcorning 16 Mei 2012 1:42 - 4569

shared variables in IronPython
fl0m0 09 Mei 2012 8:35 - 1471

Utility factors and influence diagram
hariChavali 10 Mei 2012 0:40 - 6564

Coupled Hidden Markov Model
XardasM 19 April 2012 10:12 - 4474

Fully factorized approximations
Ulchuchu 02 Mei 2012 12:18 - 4493

BernoulliFromBeta and logical factors
Alexander Fishkov 01 Mei 2012 6:59 - 0460

Is clustering still limited to mixture model hacks?
paulring2 01 Mei 2012 0:46 - 1565

Problems modeling multivariate Gaussian distribution
Alexander Sizov 27 April 2012 13:16 - 3710

Nested switch blocks - newbie question
Bayesian learner 10 Februari 2012 14:16 - 6592

Learning Parameters When Some Data is Missing - Sprinkler Example
exx 06 April 2012 17:09 - 1587

TrueSkill Through Time
Tonci Kokan 18 April 2012 14:25 - 0480

everyday programming challenges
dtosato 18 April 2012 10:32 - 1750

Newbie C++ (VS2010) Compiler Warning Question
Oracle3001 14 April 2012 12:40 - 4473

Gaussian CDF factor?
Bayesian learner 04 April 2012 0:14 - 3507

Running Inference (after adding findings) without re-compiling the network all over again
ThoFlam 28 Maret 2012 16:23 - 1492

Dataset size and strategy for predicting a single output column
HotPotato 30 Maret 2012 10:31 - 2649

Gaussian Conditional Distribution
DougMc412 09 Maret 2012 9:52 - 3558

Partially constraining the Positive Definite Covariance Matrix
Kyaw Kyaw Htike 12 Maret 2012 13:59 - 2525

Using BPM Sparse
vba123 09 Maret 2012 15:12