Proceedings, Third Workshop on Neural Networks
Author: Society for Computer Simulation
Publisher:
Published: 1993
Total Pages: 690
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Society for Computer Simulation
Publisher:
Published: 1993
Total Pages: 690
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1993
Total Pages: 422
ISBN-13:
DOWNLOAD EBOOKAuthor: Philipp Koehn
Publisher: Cambridge University Press
Published: 2020-06-18
Total Pages: 409
ISBN-13: 1108497322
DOWNLOAD EBOOKLearn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Author: Farah Deeba
Publisher: Springer Nature
Published: 2020-10-21
Total Pages: 170
ISBN-13: 3030615987
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Author: Luca Pancioni
Publisher: Springer
Published: 2018-08-29
Total Pages: 415
ISBN-13: 3319999788
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Michael G. Shafto
Publisher: Psychology Press
Published: 1997
Total Pages: 1138
ISBN-13: 9780805829419
DOWNLOAD EBOOKThis volume features the complete text of the material presented at the Nineteenth Annual Conference of the Cognitive Science Society. Papers have been loosely grouped by topic and an author index is provided in the back. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. In hopes of facilitating searches of this work, an electronic index on the Internet's World Wide Web is provided. Titles, authors, and summaries of all the papers published here have been placed in an online database which may be freely searched by anyone. You can reach the web site at: www-csli.stanford.edu/cogsci97.
Author: Daniel J Amit
Publisher: World Scientific
Published: 1995-10-18
Total Pages: 310
ISBN-13: 9814548405
DOWNLOAD EBOOKThe papers appearing in this proceedings volume cover a broad range of subjects, owing to the highly cross-disciplinary character of the workshop, and include: experiments and models concerning the dynamics of the neural activity in the cortex (DMS experiments, attractor dynamics in the cortex, spontaneous activity…); hippocampus, space and memory; theoretical advances in neural network modeling; information processing in neural networks; applications of neural networks to experimental physics, particularly to high energy physics; digital and analog hardware implementations of neural networks; etc.
Author: James M. Bower
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 897
ISBN-13: 1475798008
DOWNLOAD EBOOKThis volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.
Author: Shruti Jain
Publisher: Springer Nature
Published: 2020-03-04
Total Pages: 293
ISBN-13: 9811527407
DOWNLOAD EBOOKThis book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical identification systems. Exploring recent trends in research and applications, the book offers a valuable resource for professors, researchers, and engineers alike.
Author: Nima Dokoohaki
Publisher: Springer Nature
Published: 2022-03-07
Total Pages: 116
ISBN-13: 3030940160
DOWNLOAD EBOOKThis book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).