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Daniel Korzekwa
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Daniel Korzekwa

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To be presented at the Machine Learning Summer School in Tübingen (Germany), August 2013. The MultiSkill Tennis Model: Estimating player skills on serve and return with dynamic Bayesian networks
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Daniel Korzekwa

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Clutter Problem is a Gaussian density estimation task, presented by Thomas Minka to illustrate Expectation Propagation algorithm in practice. This note presents a solution to a Clutter problem in Scal...
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Daniel Korzekwa

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This document presents the Glicko 2 1 pairwise comparison method for estimating skills of tennis players, both on serve and return. It starts with review of existing literature on modelling tennis ski...
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Daniel Korzekwa

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For the purpose of predicting outcomes of tennis matches, I've developed Bayesian Inference Engine in Scala Programming Language. One of tutorials I wrote on this tool is dedicated to predicting outco...
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Daniel Korzekwa

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Tutorial on modelling skills of tennis players with TrueSkill rating model in Scala. Go to Bayes-Scala project to read it: https://github.com/danielkorzekwa/bayes-scala/blob/master/doc/trueskill_in_te...
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Points in tennis are not idd. Read this paper:
Franc J.G.M. Klaassen and Jan R. Magnus. Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model, 2001
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Daniel Korzekwa

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The task is to predict the location of a robot given noisy observations of its current position 1. In a static localisation setup, it's assumed that robot is not moving while subsequent measurements o...
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Daniel Korzekwa

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While working on Bayesian Networks in a continuous space, I'm plotting lots of Gaussian distributions representing prior, likelihood and posterior functions. At first glance, it appeared quite simple...
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