Inductive bias: Algorithm, Machine learning, Occam's razor, Logic, Neural network, Naive Bayes classifier, Support vector machine, Feature space - Softcover

 
9786132909992: Inductive bias: Algorithm, Machine learning, Occam's razor, Logic, Neural network, Naive Bayes classifier, Support vector machine, Feature space
Softcover
ISBN 10: 6132909990 ISBN 13: 9786132909992
Verlag: OmniScriptum, 2010

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered (Mitchell, 1980). In machine learning, one aims to construct algorithms that are able to learn to predict a certain target output. To achieve this, the learning algorithm is presented some training examples that demonstrate the intended relation of input and output values. Then the learner is supposed to approximate the correct output, even for examples that have not been shown during training. Without any additional assumptions, this task cannot be solved exactly since unseen situations might have an arbitrary output value. The kind of necessary assumptions about the nature of the target function are subsumed in the term inductive bias (Mitchell, 1980; desJardins and Gordon, 1995).

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The inductive bias of a learning algorithm is the set of assumptions that the learner uses to predict outputs given inputs that it has not encountered (Mitchell, 1980). In machine learning, one aims to construct algorithms that are able to learn to predict a certain target output. To achieve this, the learning algorithm is presented some training examples that demonstrate the intended relation of input and output values. Then the learner is supposed to approximate the correct output, even for examples that have not been shown during training. Without any additional assumptions, this task cannot be solved exactly since unseen situations might have an arbitrary output value. The kind of necessary assumptions about the nature of the target function are subsumed in the term inductive bias (Mitchell, 1980; desJardins and Gordon, 1995).

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
OmniScriptum
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
6132909990
ISBN 13 
9786132909992
Einband
Tapa blanda
Anzahl der Seiten
104
Herausgeber
Miller Frederic P., Vandome Agnes F., McBrewster John
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar