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blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Thursday, 15 August 2013. The MultiSkill Tennis Model. 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. Thursday, 21 March 2013. TrueSkill - Updating player skills in tennis with Expectation Propagation Bayesian inference in Scala. Https:/ github&...

INTERNAL PAGES

danmachine.com danmachine.com
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http://www.danmachine.com/system/app/pages/recentChanges

Jul 23, 2015, 2:26 AM. Daniel Korzekwa edited Daniel Korzekwa. Feb 5, 2015, 1:06 AM. Daniel Korzekwa edited Daniel Korzekwa. Feb 5, 2015, 1:02 AM. Daniel Korzekwa edited Daniel Korzekwa. Feb 5, 2015, 1:01 AM. Daniel Korzekwa attached 28e861d.jpg. Feb 5, 2015, 12:59 AM. Daniel Korzekwa edited Daniel Korzekwa. Feb 5, 2015, 12:59 AM. Daniel Korzekwa edited Daniel Korzekwa. Feb 5, 2015, 12:58 AM. Daniel Korzekwa edited Daniel Korzekwa. Aug 1, 2012, 12:41 PM. Daniel Korzekwa edited Daniel Korzekwa. Daniel Kor...

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Report Abuse

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By submitting this form, you are alerting the Google Sites team that this site has content that is in violation of our Terms of Use. Why are you reporting the content on this Site as inappropriate? This Site contains spam. This Site contains phishing. This Site contains malware. This Site contains sexually explicit material (like pornography or nudity). This Site contains content that is harassing me or someone else. This Site promotes violence or has hate speech.

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blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: November 2012

http://blog.danmachine.com/2012_11_01_archive.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Friday, 9 November 2012. Predicting outcomes of tennis matches with Dynamic Bayesian Networks. Bayes-Scala Project Home Page. Getting Started - Learning parameters with Expectation Maximisation in Unrolled Dynamic Bayesian Networks from incomplete data. Subscribe to: Posts (Atom). On probability of winning a tennis match. Moving from Java to Scala - One year later.

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: On probability of winning a tennis match

http://blog.danmachine.com/2012/02/on-probability-of-winning-tennis-match.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Saturday, 4 February 2012. On probability of winning a tennis match. Tennis prediction application is intended for supporting trading decisions on a Betfair betting exchange markets. As a trader,. I want to calculate probability of winning a tennis match,. So that I can support my trading decisions. Court surface - CLAY, GRASS, HARD. Match type - THREE SET MATCH, FIVE SET MATCH. Probability ...

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: August 2013

http://blog.danmachine.com/2013_08_01_archive.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Thursday, 15 August 2013. The MultiSkill Tennis Model. 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. Subscribe to: Posts (Atom). On probability of winning a tennis match. Moving from Java to Scala - One year later. The MultiSkill Tennis Model.

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: January 2012

http://blog.danmachine.com/2012_01_01_archive.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Wednesday, 11 January 2012. Neural Networks and Genetic Algorithm in trading on a Betting Exchange. This is a report on learning neural networks for trading on betting exchange horse racing markets. Was learned using Market Simulator [2]. Example of collected market data:. Time":1282482515736,"eventType":"CANCEL BETS","betsSize":5.0,"betPrice":18.0,"betType":"LAY","marketId":10165558...Time"...

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: March 2011

http://blog.danmachine.com/2011_03_01_archive.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Friday, 18 March 2011. Stochastic optimisation in analysing efficiency of betting exchange markets. Currently, my research is centred around investigating semi-strong form efficiency [1]. Sometime ago, I reached a point at which my studying of betting exchange markets became complex and time consuming, consequently I decided to introduce stochastic optimisation [2]. For example, to examine a...

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: The MultiSkill Tennis Model

http://blog.danmachine.com/2013/08/the-multiskill-tennis-model.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Thursday, 15 August 2013. The MultiSkill Tennis Model. 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. On probability of winning a tennis match. Moving from Java to Scala - One year later. The MultiSkill Tennis Model.

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: February 2013

http://blog.danmachine.com/2013_02_01_archive.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Friday, 22 February 2013. Linear Gaussian Model for robot localisation. The task is to predict the location of a robot given noisy observations of its current position. Bayes's theorem for Gaussian Variables. Https:/ github.com/danielkorzekwa/bayes-scala/blob/master/doc/localisation example/localisation example.md. Subscribe to: Posts (Atom). On probability of winning a tennis match.

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: Neural Networks and Genetic Algorithm in trading on a Betting Exchange

http://blog.danmachine.com/2012/01/neural-networks-and-genetic-algorithm.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Wednesday, 11 January 2012. Neural Networks and Genetic Algorithm in trading on a Betting Exchange. This is a report on learning neural networks for trading on betting exchange horse racing markets. Was learned using Market Simulator [2]. Example of collected market data:. Time":1282482515736,"eventType":"CANCEL BETS","betsSize":5.0,"betPrice":18.0,"betType":"LAY","marketId":10165558...Time"...

blog.danmachine.com blog.danmachine.com

Betting Exchange Research Blog: Modelling tennis skills on serve and return with Glicko 2 pairwise comparison model

http://blog.danmachine.com/2013/01/modelling-tennis-skills-on-serve-and.html

Betting Exchange Research Blog. A mixture of information technology, betting exchange and artificial intelligence. Friday, 25 January 2013. Modelling tennis skills on serve and return with Glicko 2 pairwise comparison model. This document presents the Glicko 2. Https:/ github.com/danielkorzekwa/tennis-player-compare/blob/master/doc/glicko2 tennis skills/glicko2 tennis skills.md. On probability of winning a tennis match. Moving from Java to Scala - One year later.

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