[PDF] Two Mode Threshold Learning eBook

Author :
Publisher :
Page : 0 pages
File Size : 45,86 MB
Release : 1964
Category :
ISBN :

GET BOOK

In certain 'threshold learning processes' (TLPs) associated with pattern recognition and sensory perception, the process of training an observer to recognize patterns or distinguish levels of sensory excitation may be modeled by a finite-state Markov chain. The statistics of the signals received by the observer move at random between two sets of parameters in a 'two-mode' TLP, modeled by a two-mode Markov chain. Using a probabilistic measure of effectiveness, the effectiveness of a 'simple incremental' feedback policy is shown to be greater for two-mode TLPs than for one-mode TLPs over a certain range of environmental and structural statistics. A method of designing periodic train-work schedules for two-mode TLPs is described. ('Train' and 'work' correspond to 'closed-loop' and 'open-loop' respectively.) In many real adaptive processes an 'RC approximation' of the train-work dynamics is applicable. For these processes the ratio of working time to retraining time, yielding a desired performance level, is maximized when the work-retrain period is made as small as possible. Many stochastic processes present modeling problems of near psychological complexity. Ways in which open-loop/closed-loop relationships can help the life scientist or engineer model adaptive stochastic processes by two-mode TLPs are indicated. (Author).

Author : J. SKLANSKY
Publisher :
Page : 64 pages
File Size : 13,17 MB
Release : 1964
Category :
ISBN :

GET BOOK

In certain 'threshold learning processes' (TLPs) associated with pattern recognition and sensory perception, the process of training an observer to recognize patterns or distinguish levels of sensory excitation may be modeled by a finite-state Markov chain. The statistics of the signals received by the observer move at random between two sets of parameters in a 'two-mode' TLP, modeled by a two-mode Markov chain. Using a probabilistic measure of effectiveness, the effectiveness of a 'simple incremental' feedback policy is shown to be greater for two-mode TLPs than for one-mode TLPs over a certain range of environmental and structural statistics. A method of designing periodic train-work schedules for two-mode TLPs is described. ('Train' and 'work' correspond to 'closed-loop' and 'open-loop' respectively.) In many real adaptive processes an 'RC approximation' of the train-work dynamics is applicable. For these processes the ratio of working time to retraining time, yielding a desired performance level, is maximized when the work-retrain period is made as small as possible. Many stochastic processes present modeling problems of near psychological complexity. Ways in which open-loop/closed-loop relationships can help the life scientist or engineer model adaptive stochastic processes by two-mode TLPs are indicated. (Author).

Author : Alberto Maria Segre
Publisher : Morgan Kaufmann
Page : 521 pages
File Size : 47,44 MB
Release : 2014-06-28
Category : Computers
ISBN : 1483297403

GET BOOK

Machine Learning Proceedings 1989

Author : Shai Avidan
Publisher : Springer Nature
Page : 801 pages
File Size : 42,84 MB
Release : 2022-11-02
Category : Computers
ISBN : 3031200837

GET BOOK

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Author : Hsinchun Chen
Publisher : Springer Science & Business Media
Page : 590 pages
File Size : 19,29 MB
Release : 2008-06-17
Category : Business & Economics
ISBN : 0387716130

GET BOOK

This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.