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