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dc.contributor.editorJoo Er, Meng
dc.contributor.editorZhou, Yi
dc.date.accessioned2021-04-20T14:54:03Z
dc.date.available2021-04-20T14:54:03Z
dc.date.issued2009
dc.identifierONIX_20210420_9783902613554_73
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64717
dc.description.abstractEven since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherMachine learning
dc.titleTheory and Novel Applications of Machine Learning
dc.typebook
oapen.identifier.doi10.5772/56681
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9783902613554
oapen.relation.isbn9789535158424
oapen.imprintIntechOpen
oapen.pages388


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