Read e-book online Learning from Data: Artificial Intelligence and Statistics PDF

By Doug Fisher,Hans-J. Lenz

ISBN-10: 0387947361

ISBN-13: 9780387947365

Ten years in the past invoice Gale of AT&T Bell Laboratories used to be fundamental organizer of the 1st Workshop on synthetic Intelligence and facts. within the early days of the Workshop sequence it appeared transparent that researchers in AI and information had universal pursuits, although with diversified emphases, targets, and vocabularies. In studying and version choice, for instance, a historic aim of AI to construct self sustaining brokers most likely contributed to a spotlight on parameter-free studying structures, which relied little on an exterior analyst's assumptions concerning the facts. This appeared at odds with statistical process, which stemmed from a view that version choice equipment have been instruments to reinforce, now not substitute, the skills of a human analyst. therefore, statisticians have normally spent significantly extra time exploiting past details of our environment to version information and exploratory information research equipment adapted to their assumptions. In information, designated emphasis is put on version checking, making huge use of residual research, simply because all versions are 'wrong', yet a few are larger than others. it truly is more and more famous that AI researchers and/or AI courses can make the most an analogous form of statistical concepts to reliable impression. usually AI researchers and statisticians emphasised assorted elements of what on reflection we'd now regard because the similar overriding tasks.

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Read or Download Learning from Data: Artificial Intelligence and Statistics V: Artificial Intelligence and Statisitics V (Lecture Notes in Statistics) PDF

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