Results 261 to 270 of about 1,089,540 (326)

A marginal structural model for normal tissue complication probability. [PDF]

open access: yesBiostatistics
Tang TS   +4 more
europepmc   +1 more source

Clarifying space use concepts in ecology: Range vs. occurrence distributions. [PDF]

open access: yesEcology
Alston JM   +43 more
europepmc   +1 more source

Effects Among the Affected. [PDF]

open access: yesStat Med
Montoya LM   +4 more
europepmc   +1 more source

PREDICTING CONDITIONAL PROBABILITY DISTRIBUTIONS: A CONNECTIONIST APPROACH

International Journal of Neural Systems, 1995
Most 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
openaire   +3 more sources

Maximum Entropy-based Conditional Probability Distribution Runoff Model

Biosystems Engineering, 2005
The principle of maximum entropy was applied to develop a minimally prejudiced, conditional probability distribution model to estimate runoff on weekly and monthly basis for the catchment of Matatila dam comprising an area of 20 720 km2 on Betwa river in India.
Deepak Agrawal   +2 more
openaire   +2 more sources

The Probability Distribution of Conditional Classification Error

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
The 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.
openaire   +3 more sources

Worst-case conditional value-at-risk based bidding strategy for wind-hydro hybrid systems under probability distribution uncertainties

, 2019
It is challenging for renewable power (such as wind power) to participate in electricity markets, because of various uncertainties in terms of prices and power generation fluctuations.
Yangyang Liu   +5 more
semanticscholar   +1 more source

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