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Mixture density networks
Christopher M. Bishop
Aston University
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Preprint or Working paper
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Keyphrases
Arbitrary Functions
33%
Class Membership
33%
Classification Problem
33%
Coding Scheme
33%
Complete Description
33%
Complete System
33%
Conditional Average
66%
Conditional Probability Distribution
66%
Conventional Neural Network
66%
Cross Entropy Error
33%
Entropy Error Function
33%
Input Vector
100%
Inverse Problem
33%
Mixture Density Model
33%
Mixture Density Network
100%
Multi-valued
33%
Network Model
33%
Posterior Probability
33%
Robot Inverse Kinematics
33%
Sum of Squares
33%
Toy Problems
33%
Mathematics
Approximates
33%
Arbitrary Function
33%
Classification Problem
33%
Coding Scheme
33%
Complete System
33%
Conditional Probability
66%
Conditionals
66%
Continuous Variable
33%
Cross-Entropy
33%
Error Function
33%
Input Vector
100%
Network Model
33%
Neural Network
66%
Probability Distribution
66%
Probability Theory
33%
Sum of Squares
33%
Engineering
Arbitrary Function
33%
Classification Problem
33%
Coding Scheme
33%
Complete Description
33%
Complete System
33%
Conditional Probability
66%
Continuous Variable
33%
Error Function
33%
Input Vector
100%
Inverse Kinematics
33%
Network Model
33%
Posterior Probability
33%
Robotics
33%
Target Data
66%
Target Value
33%
Computer Science
Classification Problem
33%
Conditional Probability
66%
Continuous Variable
33%
Conventional Neural Network
66%
Error Function
33%
Inverse Kinematics
33%
Inverse Problem
33%
Network Density
100%
Posterior Probability
33%
Robotics
33%
Chemical Engineering
Neural Network
100%