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INTRODUCTION MACHINE LEARNING

INTRODUCTIONTOMACHINE LEARNINGAN EARLY DRAFT OF A PROPOSEDTEXTBOOKNils J. NilssonRobotics LaboratoryDepartment of Computer ScienceStanford UniversityStanford, CA 94305e-mail: 3, 1998 Copyrightc 2005 Nils J. NilssonThis material may not be copied, reproduced, or distributed without thewritten permission of the copyright INTRODUCTION .. is MACHINE LEARNING ? .. of MACHINE LEARNING .. of MACHINE LEARNING .. LEARNING Input-Output Functions .. of LEARNING .. Vectors .. Regimes .. Evaluation .. LEARNING Requires Bias .. Sample Applications .. Sources .. Bibliographical and Historical Remarks .. 132 Boolean Representation.

1.1. INTRODUCTION 3 Human designers often produce machines that do not work as well as desired in the environments in which they are used. In fact, certain char-acteristics of the working environment might not be completely known at design time. Machine learning methods can be used for on-the-job improvement of existing machine designs.

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