Search results for Pattern Recognition and Machine Learning

Preface
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp xi-xii
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5 - Kernel Methods
from Part One - Data Analysis Foundations
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 134-162
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25 - Neural Networks
from Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 637-671
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13 - Representative-based Clustering
from Part Three - Clustering
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 334-363
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Contents
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp v-x
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2 - Numeric Attributes
from Part One - Data Analysis Foundations
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 29-60
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Part Two - Frequent Pattern Mining
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 217-218
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27 - Regression Evaluation
from Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 720-754
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Part One - Data Analysis Foundations
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 1-2
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12 - Pattern and Rule Assessment
from Part Two - Frequent Pattern Mining
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 303-331
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Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 587-588
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24 - Logistic Regression
from Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 623-636
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19 - Decision Tree Classifier
from Part Four - Classification
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 483-500
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26 - Deep Learning
from Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 672-719
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14 - Hierarchical Clustering
from Part Three - Clustering
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 364-374
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7 - Dimensionality Reduction
from Part One - Data Analysis Foundations
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 184-216
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23 - Linear Regression
from Part Five - Regression
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

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07 February 2020

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30 January 2020, pp 589-622
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6 - High-dimensional Data
from Part One - Data Analysis Foundations
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

Published online:

07 February 2020

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30 January 2020, pp 163-183
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15 - Density-based Clustering
from Part Three - Clustering
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

Published online:

07 February 2020

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30 January 2020, pp 375-393
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16 - Spectral and Graph Clustering
from Part Three - Clustering
Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Book:

Data Mining and Machine Learning

Published online:

07 February 2020

Print publication:

30 January 2020, pp 394-425
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Pattern Recognition and Machine Learning

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2190 results in Pattern Recognition and Machine Learning

Preface

5 - Kernel Methods

25 - Neural Networks

13 - Representative-based Clustering

Contents

2 - Numeric Attributes

Part Two - Frequent Pattern Mining

27 - Regression Evaluation

Part One - Data Analysis Foundations

12 - Pattern and Rule Assessment

Part Five - Regression

24 - Logistic Regression

19 - Decision Tree Classifier

26 - Deep Learning

14 - Hierarchical Clustering

7 - Dimensionality Reduction

23 - Linear Regression

6 - High-dimensional Data

15 - Density-based Clustering

16 - Spectral and Graph Clustering

Pattern Recognition and Machine Learning

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2190 results in Pattern Recognition and Machine Learning