Conditional probability distribution

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A conditional probability interpretation of Kanerva's sparse distributed memory

International Joint Conference on Neural Networks, 1989
It is shown that P. Kanerva's sparse distributed memory (SDM) (Sparse Distributed Memories, Bradford Books/MIT Press, 1988) is a Monte Carlo approximation to a multidimensional conditional probability integral. The SDM will produce acceptable responses from a training set when this approximation is valid, that is, when the training set contains ...
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A Low-Error Energy-Efficient Fixed-Width Booth Multiplier With Sign-Digit-Based Conditional Probability Estimation

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2018
Ziji Zhang, Yajuan He
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Comparative performance of indicator algorithms for modeling conditional probability distribution functions

, 1994
P. Goovaerts
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A methodology to determine a conditional probability density distribution surface from S–N data

, 2012
Jian-ming Zhai, Xiao-yang Li
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CONDENSATION—Conditional Density Propagation for Visual Tracking

International Journal of Computer Vision, 1998
M. Isard, A. Blake
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Probability distribution, conditional dissipation, and transport of passive temperature fluctuations in grid‐generated turbulence

, 1992
Jayesh, Z. Warhaft
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Maximum‐Likelihood Recurrence Parameters and Conditional Probability of a Ground‐Rupturing Earthquake on the Southern Alpine Fault, South Island, New Zealand