Repetitive Play of an Unknown Game Against Nature PDF Download
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Author: Stanford University. Stanford Electronics Laboratories Publisher: ISBN: Category : Game theory Languages : en Pages : 90
Book Description
A repetitive play of a game against Nature is considered under the assumption that the player knows nothing about the game except his own set of strategies. After each play, he is told the value of the random loss incurred by him. A strategic rule for the player is defined with the property that the average loss achieves asymptotically the minimum functional of the game in probability and uniformly in all sequences of Nature's strategies. The rate of convergence of expected average losses is shown as well. (Author).
Author: Stanford University. Stanford Electronics Laboratories Publisher: ISBN: Category : Game theory Languages : en Pages : 90
Book Description
A repetitive play of a game against Nature is considered under the assumption that the player knows nothing about the game except his own set of strategies. After each play, he is told the value of the random loss incurred by him. A strategic rule for the player is defined with the property that the average loss achieves asymptotically the minimum functional of the game in probability and uniformly in all sequences of Nature's strategies. The rate of convergence of expected average losses is shown as well. (Author).
Author: Satosi Watanabe Publisher: Academic Press ISBN: 1483268985 Category : Reference Languages : en Pages : 591
Book Description
Methodologies of Pattern Recognition is a collection of papers that deals with the two approaches to pattern recognition (geometrical and structural), the Robbins-Monro procedures, and the implications of interactive graphic computers for pattern recognition methodology. Some papers describe non-supervised learning in statistical pattern recognition, parallel computation in pattern recognition, and statistical analysis as a tool to make patterns emerge from data. One paper points out the importance of cluster processing in visual perception in which proximate points of similar brightness values form clusters. At higher levels of mental activity humans are efficient in clumping complex items into clusters. Another paper suggests a recognition method which combines versatility and an efficient noise-proofness in dealing with the two main problems in the field of recognition. These difficulties are the presence of a large variety of observed signals and the presence of interference. One paper reports on a possible feature selection for pattern recognition systems employing the minimization of population entropy. Electronic engineers, physicists, physiologists, psychologists, logicians, mathematicians, and philosophers will find great rewards in reading the above collection.
Author: Stanford University. Stanford Electronics Laboratories Publisher: ISBN: Category : Decision making Languages : en Pages : 56
Book Description
A convenient model for learning is provided by the sequential compound decision problem of mathematical statistics. The decision-maker observes a sequence of independent random variables, the distribution of which varies arbitrarily along the sequence. Since the decision-maker does not know the distribution beforehand, he tries to learn during the sequence how to minimize his losses.
Author: Robert J. Aumann Publisher: MIT Press ISBN: 9780262011471 Category : Business & Economics Languages : en Pages : 372
Book Description
The basic model studied throughout the book is one in which players ignorant about the game being played must learn what they can from the actions of the others.
Author: Stanford University. Stanford Electronics Laboratories
Author: Stanford University. Stanford Electronics Laboratories
Author: 
Author: Satosi Watanabe
Author: 
Author: Stanford University. Stanford Electronics Laboratories
Author: Stanford University. Stanford Electronics Laboratories
Author: Stanford University. Stanford Electronics Laboratories
Author: 
Author: 
Author: Robert J. Aumann