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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7899\nThere are five main schools of thought in machine learning, and each has its own master algorithm - a general-purpose learner that can in principle be applied to any domain. The symbolists have inverse deduction, the connectionists have backpropagation, the evolutionaries have genetic programming, the Bayesians have probabilistic inference, and the analogizers have support vector machines. What we really need, however, is a single algorithm combining the key features of all of them.\n \nIn this talk I will:\nDescribe my work toward this goal, including in particular Markov logic networks\nSpeculate on the new applications that such a universal learner will enable\nHow society will change as a result
DTSTART:20150819T150000
SUMMARY:The Five Tribes of Machine Learning, and What You Can Take from Each
DTEND:20150819T154459
LOCATION: See Description
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