Fundamentals of Pattern Recognition and Machine Learning
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030276553, 9783030276560

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Parametric Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_4 ◽

2020 ◽

pp. 67-88

Author(s):

Ulisses Braga-Neto

Keyword(s):

Parametric Classification

Sample-Based Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_3 ◽

2020 ◽

pp. 51-65

Author(s):

Ulisses Braga-Neto

Introduction

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_1 ◽

2020 ◽

pp. 1-13

Author(s):

Ulisses Braga-Neto

Clustering

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_10 ◽

2020 ◽

pp. 231-252

Author(s):

Ulisses Braga-Neto

Model Selection for Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_8 ◽

2020 ◽

pp. 185-204

Author(s):

Ulisses Braga-Neto

Keyword(s):

Model Selection ◽

Selection For

Optimal Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_2 ◽

2020 ◽

pp. 15-49

Author(s):

Ulisses Braga-Neto

Keyword(s):

Optimal Classification

Dimensionality Reduction

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_9 ◽

2020 ◽

pp. 205-229

Author(s):

Ulisses Braga-Neto

Keyword(s):

Dimensionality Reduction

Error Estimation for Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_7 ◽

2020 ◽

pp. 151-183

Author(s):

Ulisses Braga-Neto

Keyword(s):

Error Estimation

Function-Approximation Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_6 ◽

2020 ◽

pp. 109-150

Author(s):

Ulisses Braga-Neto

Keyword(s):

Function Approximation

Nonparametric Classification

Fundamentals of Pattern Recognition and Machine Learning ◽

10.1007/978-3-030-27656-0_5 ◽

2020 ◽

pp. 89-108

Author(s):

Ulisses Braga-Neto

Keyword(s):

Nonparametric Classification

Fundamentals of Pattern Recognition and Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Parametric Classification

Sample-Based Classification

Introduction

Clustering

Model Selection for Classification

Optimal Classification

Dimensionality Reduction

Error Estimation for Classification

Function-Approximation Classification

Nonparametric Classification

Fundamentals of Pattern Recognition and Machine Learning
Latest Publications