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Kategorie szczegółowe BISAC
 Machine Learning: A Guide to Current Research Mitchell, Tom M. 9780898382143 Springer
Machine Learning: A Guide to Current Research

Mitchell, Tom M.
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence...
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and developm...
cena: 1129,80
 Recent Advances in Robot Learning: Machine Learning Franklin, Judy a. 9780792397458 Springer
Recent Advances in Robot Learning: Machine Learning

Franklin, Judy a.
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation.
While no unified robot learning framework has yet emerged to cover the variety of problems and approaches...
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of pa...
cena: 605,23
 Recent Advances in Robot Learning: Machine Learning Franklin, Judy a. 9781461380641 Springer
Recent Advances in Robot Learning: Machine Learning

Franklin, Judy a.
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation.
While no unified robot learning framework has yet emerged to cover the variety of problems and approaches...
Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of pa...
cena: 605,23
 Machine Learning: A Guide to Current Research Mitchell, Tom M. 9781461294061 Springer
Machine Learning: A Guide to Current Research

Mitchell, Tom M.
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence...
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and developm...
cena: 1129,80


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