Boosting Blackjack Returns with Machine Learned Betting Criteria

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Third International Conference on Information Technology: New Generations (ITNG'06)

Las Vegas, Nevada

April 10-April 12

ISBN: 0-7695-2497-4

	ASCII Text	x
	Ron Coleman, "Boosting Blackjack Returns with Machine Learned Betting Criteria," Information Technology: New Generations, Third International Conference on, pp. 669-673, Third International Conference on Information Technology: New Generations (ITNG'06), 2006.

	BibTex	x
	@article{ 10.1109/ITNG.2006.40, author = {Ron Coleman}, title = {Boosting Blackjack Returns with Machine Learned Betting Criteria}, journal ={Information Technology: New Generations, Third International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2497-4}, pages = {669-673}, doi = {http://doi.ieeecomputersociety.org/10.1109/ITNG.2006.40}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Technology: New Generations, Third International Conference on TI - Boosting Blackjack Returns with Machine Learned Betting Criteria SN - 0-7695-2497-4 SP669 EP673 A1 - Ron Coleman, PY - 2006 KW - null VL - 0 JA - Information Technology: New Generations, Third International Conference on ER -

Ron Coleman, Marist College

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2006.40

This paper investigates a new method to boost Blackjack betting returns. We show betting criteria identified by genetic algorithm significantly outperform standard game theoretic criteria on ten different professional counting systems.

Citation:

Ron Coleman, "Boosting Blackjack Returns with Machine Learned Betting Criteria," itng, pp.669-673, Third International Conference on Information Technology: New Generations (ITNG'06), 2006

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