Learning models (Stochastic processes)
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ShareCopied to clipboardLearning models (Stochastic processes) is a book subject. It includes 20 books, written by 15 different authors.
Key facts
- number of authors: 15 people
- number of books: 20
- books: A Marquardt algorithm for choosing the step-size in backpropagation learning with conjugate gradients, An overlapping generations model where agents have different expectations, Efficient dynamic coordination with individual learning
- authors: Peter M. Williams, J. Peter Soerensen, Amil Dasgupta
- publication dates: 1991, 1995, 2007
- book publishers: University of Sussex, School of Cognitive & Computing Sciences, University of Edinburgh, Dept. of Economics, Financial Markets Group, London School of Economics
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"Learning models (Stochastic processes)" is one of the 293,135 book subjects in our database.
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