Neural Information Processing and VLSI [1 ed.] 0792395476, 9780792395478

Perturbations, Optimization, and Statistics (Neural Information Processing series) 9780262035644, 0262035642

A description of perturbation-based methods developed in machine learning to augment novel optimization methods with str

330 13 17MB Read more

Neural Networks And Information Theory

601 53 3MB Read more

Neural Information Processing, 13 conf., ICONIP 2006 [part 2, 1 ed.] 9783540464815, 3540464816

The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International

339 44 17MB Read more

Information Processing by Biochemical Systems: Neural Network-Type Configurations 0470500948, 9780470500941

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Proce

327 35 932KB Read more

Optimization for Machine Learning (Neural Information Processing Series) [1 ed.] 026201646X, 9780262016469

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers

102 58 3MB Read more

Adaptive Analogue VLSI Neural Systems [1 ed.] 0412616300, 9780412616303

This book approaches VLSI neural networks from a practical viewpoint, using case studies to show the full process of VLS

334 32 2MB Read more

Advances in Neural Information Processing Systems 2 1-55860-100-7

337 93 11MB Read more

An Introduction to Lifted Probabilistic Inference (Neural Information Processing series) 0262542595, 9780262542593

Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic model

334 32 16MB Read more

Oscillatory Neural Networks: In Problems of Parallel Information Processing 9783110269208, 9783110268355

Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial com

141 23 16MB Read more

Brain Arousal and Information Theory: Neural and Genetic Mechanisms 9780674042100

Pfaff presents a daring perspective on the long-standing puzzle of what arousal is. He argues that, beneath our mental f

138 1 4MB Read more