Statistical Machine Learning
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Published By Chapman And Hall/CRC

9781351051507
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Stochastic Sequences

2020 ◽  
pp. 243-262
Author(s):  
Richard M. Golden

Adaptive Learning Algorithm Convergence

2020 ◽  
pp. 325-358
Author(s):  
Richard M. Golden
Keyword(s):  
Adaptive Learning ◽  
Learning Algorithm ◽  
Algorithm Convergence

Matrix Calculus for Machine Learning

2020 ◽  
pp. 119-168
Author(s):  
Richard M. Golden
Keyword(s):  
Machine Learning ◽  
Matrix Calculus

Formal Machine Learning Algorithms

2020 ◽  
pp. 83-96
Author(s):  
Richard M. Golden
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms

Model Selection and Evaluation

2020 ◽  
pp. 447-471
Author(s):  
Richard M. Golden
Keyword(s):  
Model Selection

Probability Models of Data Generation

2020 ◽  
pp. 263-297
Author(s):  
Richard M. Golden
Keyword(s):  
Data Generation ◽  
Probability Models

Random Vectors and Random Functions

2020 ◽  
pp. 213-241
Author(s):  
Richard M. Golden
Keyword(s):  
Random Vectors ◽  
Random Functions

Simulation Methods for Evaluating Generalization

2020 ◽  
pp. 399-415
Author(s):  
Richard M. Golden
Keyword(s):  
Simulation Methods

Statistical Learning Objective Function Design

2020 ◽  
pp. 361-398
Author(s):  
Richard M. Golden
Keyword(s):  
Objective Function ◽  
Statistical Learning ◽  
Learning Objective ◽  
Function Design

Batch Learning Algorithm Convergence

2020 ◽  
pp. 187-210
Author(s):  
Richard M. Golden
Keyword(s):  
Learning Algorithm ◽  
Algorithm Convergence ◽  
Batch Learning
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