Advances in Neural Information Processing Systems 19
Title | Advances in Neural Information Processing Systems 19 PDF eBook |
Author | Bernhard Schölkopf |
Publisher | MIT Press |
Pages | 1668 |
Release | 2007 |
Genre | Artificial intelligence |
ISBN | 0262195682 |
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.
Advances in Neural Information Processing Systems 29 Pre-proceedings (NeurIPS 2016)
Title | Advances in Neural Information Processing Systems 29 Pre-proceedings (NeurIPS 2016) PDF eBook |
Author | Daniel D. Lee |
Publisher | |
Pages | |
Release | 2016 |
Genre | |
ISBN |
Advances in Neural Information Processing Systems 30 Pre-proceedings (NeurIPS 2017)
Title | Advances in Neural Information Processing Systems 30 Pre-proceedings (NeurIPS 2017) PDF eBook |
Author | Isabelle Guyon |
Publisher | |
Pages | |
Release | 2017 |
Genre | |
ISBN |
Handbook on Neural Information Processing
Title | Handbook on Neural Information Processing PDF eBook |
Author | Monica Bianchini |
Publisher | Springer Science & Business Media |
Pages | 547 |
Release | 2013-04-12 |
Genre | Technology & Engineering |
ISBN | 3642366570 |
This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.
Brain, Body and Machine
Title | Brain, Body and Machine PDF eBook |
Author | Jorge Angeles |
Publisher | Springer Science & Business Media |
Pages | 364 |
Release | 2010-10-01 |
Genre | Technology & Engineering |
ISBN | 3642162592 |
The reader will find here papers on human-robot interaction as well as human safety algorithms; haptic interfaces; innovative instruments and algorithms for the sensing of motion and the identification of brain neoplasms; and, even a paper on a saxophone-playing robot.
Advances in Neural Information Processing Systems 17
Title | Advances in Neural Information Processing Systems 17 PDF eBook |
Author | Lawrence K. Saul |
Publisher | MIT Press |
Pages | 1710 |
Release | 2005 |
Genre | Computational intelligence |
ISBN | 9780262195348 |
Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
Knowledge Discovery from Sensor Data
Title | Knowledge Discovery from Sensor Data PDF eBook |
Author | Auroop R. Ganguly |
Publisher | CRC Press |
Pages | 238 |
Release | 2008-12-10 |
Genre | Business & Economics |
ISBN | 1420082337 |
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time