Community-Based Bayesian Classifier Combination

  In this post, we’re going to discuss how to use Infer.NET to implement the Community-based Bayesian Classifier Combination (ComminityBCC) model for aggregating crowd-sourced labels described in the paper:   Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, and Milad Shokouhi, Community-Based Bayesian Aggregation Models for Crowdsourcing, in Proceedings of the 23rd International World Wide…

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Causal inference with Infer.NET

Update: The paper Causality with Gates is now available which describes the theory behind this blog post. An oft quoted phrase is “correlation does not imply causation”.  It means that if A tends to be true when B is true (i.e. A and B are correlated), then it is not correct to assume that A causes B…

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Bayesian PCA

This blog has been migrated from community.research.microsoft.com Original date of blog: February 3, 2009 Original blog author: John Guiver NOTE: This example and the corresponding code are now directly available in the Infer.NET release. It’s been a couple of months now since we’ve released Infer.NET to the outside world, and a blog is overdue. I…

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Performance improvements in Infer.NET 2.4

This blog has been migrated from community.research.microsoft.com Original date of blog: November 8, 2010 Original blog author: John Winn Hello Infernauts!! Now that version 2.4 of Infer.NET is released, we’re planning a series of blog posts to describe the new features and capabilities that we’ve added over the last 12 months.    The main focus of…

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Calibrating reviews of conference submissions

This post has been migrated from community.research.microsoft.com. Original date of blog: February 1, 2010 Original blog author: John Guiver In this post, we’re going to look at how to use Infer.NET to streamline the conference reviewing process. The process in a typical computer science conference involves each submission being reviewed by several reviewers of differing…

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