A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering...

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

This book presents up-to-date research and novel methodologies on fault diagnosis and fault tolerant control for switched linear systems. It provides a unified yet neat framework of filtering, fault detection, fault diagnosis and fault tolerant control of switched systems. It can therefore serve as a useful textbook for senior and/or graduate...

Neural networks, decision trees, genetic classifiers: If these are AI concepts you'd like to employ in your own games-and you know your way around C++-this is the book for you! In these pages, leading game AI developer Alex J. Champandard shows you how to create a slew of autonomous synthetic creatures-in the process...

The requirement to maximise value for shareholders is at the core of any corporate investment or financing decision. The intrinsic value of proposed investments should be assessed before deciding how much capital to allocate; the benefits and risks associated with each available source of finance should be considered when capital is being...

• The most current screening, prevention, and management guidelines for more than 60 common outpatient conditions
• Content drawn from a wide array of recommendations regularly updated by government agencies, medical and scientific...

The intent of this book is to present recent results in the control theory for the long run average continuous control problem of piecewise deterministic Markov processes (PDMPs). The book focuses mainly on the long run average cost criteria and  extends to the PDMPs some well-known techniques related to discrete-time and continuous-time...