Infer.NET Team Blog
Infer.NET is a framework for running Bayesian inference in graphical models.
BCCWords: Bayesian Text Sentiment Analysis using Crowdsourced Annotations
How do we build an automated tool for text sentiment analysis that learns from crowdsourced human...
Author: Matteo Venanzi Date: 03/31/2015
Community-Based Bayesian Classifier Combination
In this post, we're going to discuss how to use Infer.NET to implement the Community-based Bayesian...
Author: Matteo Venanzi Date: 06/25/2014
Causal inference with Infer.NET
Update: The paper Causality with Gates is now available which describes the theory behind this blog...
Author: John Winn Date: 01/27/2012
Bayesian PCA
This blog has been migrated from community.research.microsoft.com Original date of blog: February 3,...
Author: John Guiver Date: 09/30/2011
New features in Infer.NET 2.4: the softmax factor
This blog has been migrated from community.research.microsoft.com Original date of blog: November...
Author: John Guiver Date: 09/30/2011
The separation of model and inference
This blog has been migrated from community.research.microsoft.com Original date of blog: November...
Author: John Guiver Date: 09/30/2011
Performance improvements in Infer.NET 2.4
This blog has been migrated from community.research.microsoft.com Original date of blog: November 8,...
Author: John Guiver Date: 09/30/2011
Calibrating reviews of conference submissions
This post has been migrated from community.research.microsoft.com. Original date of blog: February...
Author: John Guiver Date: 09/30/2011