Distribution

التوزيع الإحصائي

المخطط الإحصائي الذي يوضح كيفية انتشار وتكرار القيم المختلفة للمتغير العشوائي.

Distribution

Also translated asالانتشار الاحتمالي، التوزيع العددي

First appears in this corpus in: Extension of the Law of Large Numbers to Dependent Quantities (1906)

Appears in these papers

Asynchronous Methods for Deep Reinforcement Learning2016 in the sky ✦
Mastering the Game of Go Without Human Knowledge2017 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
Practical Bayesian Optimization of Machine Learning Algorithms2012 in the sky ✦
Okapi at TREC-31994 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015 in the sky ✦
Reducing the Dimensionality of Data with Neural Networks2006 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
DeepWalk: Online Learning of Social Representations2014 in the sky ✦
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017 in the sky ✦
Maximum Likelihood from Incomplete Data via the EM Algorithm1977 in the sky ✦
Gaussian Processes for Machine Learning2006 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images1984 in the sky ✦
Glow: Generative Flow with Invertible 1×1 Convolutions2018 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
Language Models Are Unsupervised Multitask Learners2019 in the sky ✦
Language Models Are Few-Shot Learners2020 in the sky ✦
Group Normalization2018 in the sky ✦
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition1989 in the sky ✦
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018 in the sky ✦
The Mathematics of Statistical Machine Translation: Parameter Estimation1993 in the sky ✦
An Information-Maximization Approach to Blind Separation and Blind Deconvolution1995 in the sky ✦
A New Approach to Linear Filtering and Prediction Problems1960 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
On Information and Sufficiency1951 in the sky ✦
Foundations of the Theory of Probability1933 in the sky ✦
Foundations of the Theory of Probability1933 in the sky ✦
Latent Dirichlet Allocation2003 in the sky ✦
Learning to Summarize from Human Feedback2020 in the sky ✦
LIMA: Less Is More for Alignment2023 in the sky ✦
Extension of the Law of Large Numbers to Dependent Quantities1906 in the sky ✦
Extension of the Law of Large Numbers to Dependent Quantities1906 in the sky ✦
Equation of State Calculations by Fast Computing Machines1953 in the sky ✦
On the Mathematical Foundations of Theoretical Statistics1922 in the sky ✦
The Monte Carlo Method1949 in the sky ✦
Natural Gradient Works Efficiently in Learning1998 in the sky ✦
Nearest Neighbor Pattern Classification1967 in the sky ✦
A Theory of the Learnable1984 in the sky ✦
Random Features for Large-Scale Kernel Machines2007 in the sky ✦
Signature Verification Using a "Siamese" Time Delay Neural Network1993 in the sky ✦
Optimization by Simulated Annealing1983 in the sky ✦
Emergence of Simple-Cell Receptive Field Properties by Learning a Sparse Code for Natural Images1996 in the sky ✦
The Strength of Weak Learnability1990 in the sky ✦