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020			_a9783030682910
024	7		_a10.1007/978-3-030-68291-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	1	0	_aModern Approaches in Machine Learning and Cognitive Science: A Walkthrough : _bLatest Trends in AI, Volume 2 _cedited by Vinit Kumar Gunjan, Jacek M. Zurada.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (X, 515 páginas) _b234 ilustraciones, 154 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v956
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aUsing CNN to predict regressive STD drug efficacy score -- Emotion Recognition in Hindi Speech using CNN-LSTM Model -- Refinery Profit Planning via Evolutionary Many-Objective Optimization -- A Deep Learning Technique for Image inpainting with GANs -- A Comparative Study on Distributed File Systems.
520	3		_aThis book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems - theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
988			_aSpringer_Robotics_2021
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aGunjan, Vinit Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681560
700	1		_aZurada, Jacek M. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682065
776	0	8	_iPrinted edition: _z9783030682903
776	0	8	_iPrinted edition: _z9783030682927
776	0	8	_iPrinted edition: _z9783030682934
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-68291-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE