Probability Learning

Known as: Learning, Probability, Learnings, Probability, Probability Learnings 
Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to… (More)
National Institutes of Health

Papers overview

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2013
2013
Memory exhibits episodic superposition, an analog of the quantum superposition of physical states: Before a cue for a presented… (More)
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Highly Cited
2011
Highly Cited
2011
A quantum probability model is introduced and used to explain human probability judgment errors including the conjunction and… (More)
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2009
2009
Probability theory has long been taken as the self-evident norm against which to evaluate inductive reasoning, and classical… (More)
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2008
2008
Quantum theory is a probabilistic theory with fixed causal structure. General relativity is a deterministic theory but where the… (More)
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2006
2006
Based on an analytical approach to the definition of multiplicative free convolution on probability measures on the nonnegative… (More)
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2001
2001
The renormalization group has played an important role in the physics of the second half of the twentieth century both as a… (More)
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Highly Cited
1999
Highly Cited
1999
A catalogue record for this book is available from the British Library Library of Congress Cataloguing in Publication data Spanos… (More)
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Highly Cited
1996
Highly Cited
1996
The simple notion of statistical independence lies at the core of much that is important in probability theory. First there was… (More)
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1989
1989
We have employed Algorithmic Probability Theory to construct a system for machine learning of great power and generality. The… (More)
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