Outstanding Titles in A.I., Machine Learning & Big Data by World Scientific Publishing Co Pte Ltd

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Catalog Outstanding Titles in A.I., Machine Learning & Big Data

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outstanding titles in a.i • machine learning • big data bestseller deep learning neural networks design and case studies by daniel graupe university of illinois chicago usa bestselling handbook bestseller handbook of metadata semantics and ontologies edited by miguel-angel sicilia university of alcalá spain this comprehensive textbook is the first in the new emerging field numerous case studies are succinctly demonstrated in the text it is intended for use as a one-semester graduatelevel university text and as a textbook for research and development establishments in industry medicine and financial research this book aims at providing an overview of metadata as practiced in a variety of different domains and taking a plurality of perspectives it is also useful as a reflection of the metadata field itself heterogeneous and rich and at the same time complex contents acknowledgements preface deep learning neural networks methodology and scope basic concepts of neural

titles in big data and data mining highly recommended series in machine perception and artificial intelligence vol 83 data mining in time series and streaming databases edited by mark last ben-gurion university of the negev israel horst bunke university of bern switzerland abraham kandel university of south florida usa the emerging topics covered by the book include weightless neural modeling for mining data streams using ensemble classifiers for imbalanced and evolving data streams document stream mining with active learning and many more in particular it addresses the domain of streaming data which has recently become one of the emerging topics in data science big data and related areas existing titles do not provide sufficient information on this topic readership researchers academics professionals and graduate students in artificial intelligence machine learning databases and information science 196pp 978-981-3228-03-0 mar 2018 us$88 £77 series in machine perception and

titles in a.i machine learning/consciousness highly recommended advances in computer science and engineering texts vol 8 machine learning for financial engineering edited by lászló györfi budapest university of technology and economics hungary györgy ottucsák budapest university of technology and economics hungary harro walk universität stuttgart germany key features • covers machine learning algorithms for the aggregation of elementary investment strategies • highlights multi-period and multi-asset trading • focuses on nonparametric estimation of the underlying distributions in the market process readership researchers academics and graduate students in artificial intelligence machine learning and mathematical finance/quantitative finance 260pp 978-1-84816-813-8 mar 2012 us$95 £79 lessons from the convergence of computing and cognitive psychology by charles t ross british computer society uk the book is the first of its kind to compare

journal promotion international journal of pattern recognition and artificial intelligence international journal of neural systems ijns www.worldscientific.com/ijprai http www.worldscientific.com/ijns editor-in-chief impact factor 6.333 ranking in the category computer science artificial intelligence is 7th out of 133 xiaoyi jiang university of münster patrick wang northeastern university aims scope this journal publishes both applications and theory-oriented articles on new developments in the fields of pattern recognition and artificial intelligence and is of interest to both researchers in industry and academia from the beginning there has always been a close relationship between the disciplines of pattern recognition and artificial intelligence the recognition and understanding of sensory data like speech or images which are major concerns in pattern recognition have always been considered as important subfields of artificial intelligence on the other hand topics like