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PREDICTING CONDITIONAL PROBABILITY DISTRIBUTIONS: A CONNECTIONIST APPROACH
International Journal of Neural Systems, 1995Most traditional prediction techniques deliver a single point, usually the mean of a probability distribution. For multimodal processes, instead of predicting the mean, it is important to predict the full distribution. This article presents a new connectionist method to predict the conditional probability distribution in response to an input. The main
A S, Weigend, A N, Srivastava
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On the characterization of a joint probability distribution by conditional distributions
Journal of Econometrics, 1979Christian Gourieroux, Alain Monfort
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The Probability Distribution of Conditional Classification Error
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980The probability distribution of the error incurred by a classification system on a given data set is derived. It is shown that the distribution is mixed binomial. A method for calculating the mixed binomial distribution recursively is proposed.
Kittler, J., Devijver, P. A.
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Integrated Conditional Estimation-Optimization
Operational Research, 2021Many real-world optimization problems involve uncertain parameters with probability distributions that can be estimated using contextual feature information.
Paul Grigas, Meng Qi, Zuo‐Jun Max Shen
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X ¯ Chart with Estimated Parameters: The Conditional ARL Distribution and New Insights
Production and operations management, 2019Performance measures of control charts with estimated parameters are random variables and vary significantly across reference samples. In this context, a recent idea has been to study the distribution of the realized (or conditional) in‐control average ...
F. S. Jardim +2 more
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Conditional distribution variability measures for causality detection
Cause Effect Pairs in Machine Learning, 2016In this paper we derive variability measures for the conditional probability distributions of a pair of random variables, and we study its application in the inference of causal-effect relationships. We also study the combination of the proposed measures
José A. R. Fonollosa
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Learning non-stationary conditional probability distributions
Neural Networks, 2000While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the training schemes are still required to make these approaches practically viable.
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Nature Physics, 2019
With the improving sensitivity of the global network of gravitational-wave detectors, we expect to observe hundreds of transient gravitational-wave events per year.
H. Gabbard +4 more
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With the improving sensitivity of the global network of gravitational-wave detectors, we expect to observe hundreds of transient gravitational-wave events per year.
H. Gabbard +4 more
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A New Moment Determinacy Condition for Probability Distributions
Theory of Probability & Its ApplicationsВ этой статье мы предлагаем условие на вероятностное распределение, которое позволяет нам однозначно определить распределение по всем его моментам. Это условие применимо как к случаю Гамбургера (распределения на всей действительной прямой), так и к случаю Стилтьеса (распределения на положительной полупрямой).
Wei, Y., Zhang, R.
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Probability distribution and conditional averaging in turbulent flows
Fluid Dynamics, 1977The results of an experimental investigation of the turbulence characteristics in the plane mixing layer and in the wake behind a cylinder are given. Measurements are made of the distribution of the velocity and temperature probabilities, the intermittency coefficient, and the conditionally averaged values of the square of the velocity and temperature ...
V. R. Kuznetsov, V. I. Rasshchupkin
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