9786132909992 - Inductive bias: Algorithm, Machine learning, Occam's razor, Logic, Neural network, Naive Bayes classifier, Support vector machine, Feature space (3 resultados)

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch.

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The inductivebias of a learning algorithm is the set of assumptions that the learneruses to predict outputs given inputs that it has not encountered(Mitchell, 1980). In machine learning, one aims to construct algorithmsthat are able to learn to predict a certain target output. To achievethis, the learning algorithm is presented some training examples thatdemonstrate the intended relation of input and output values. Then thelearner is supposed to approximate the correct output, even for examplesthat have not been shown during training. Without any additionalassumptions, this task cannot be solved exactly since unseen situationsmight have an arbitrary output value. The kind of necessary assumptionsabout the nature of the target function are subsumed in the terminductive bias (Mitchell, 1980; desJardins and Gordon, 1995).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.