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Machine Learning and Data Mining in Pattern Recognition

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Cover of 'Machine Learning and Data Mining in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier
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    Chapter 2 Hubness-Based Fuzzy Measures for High-Dimensional k -Nearest Neighbor Classification
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    Chapter 3 Decisions: Algebra and Implementation
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    Chapter 4 Smoothing Multinomial Naïve Bayes in the Presence of Imbalance
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    Chapter 5 ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves
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    Chapter 6 Informative Variables Selection for Multi-relational Supervised Learning
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    Chapter 7 Separability of Split Value Criterion with Weighted Separation Gains
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    Chapter 8 Granular Instances Selection for Fuzzy Modeling
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    Chapter 9 Parameter-Free Anomaly Detection for Categorical Data
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    Chapter 10 Fuzzy Semi-supervised Support Vector Machines
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    Chapter 11 GENCCS: A Correlated Group Difference Approach to Contrast Set Mining
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    Chapter 12 Collective Classification Using Heterogeneous Classifiers
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    Chapter 13 Spherical Nearest Neighbor Classification: Application to Hyperspectral Data
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    Chapter 14 Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning
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    Chapter 15 Boosting Inspired Process for Improving AUC
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    Chapter 16 Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents
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    Chapter 17 Exploration Strategies for Learned Probabilities in Smart Terrain
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    Chapter 18 Sensitivity Analysis for Weak Constraint Generation
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    Chapter 19 Dictionary Learning Based on Laplacian Score in Sparse Coding
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    Chapter 20 A Practical Approach for Clustering Transaction Data
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    Chapter 21 Hierarchical Clustering with High Order Dissimilarities
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    Chapter 22 Clust-XPaths: Clustering of XML Paths
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    Chapter 23 Comparing Clustering and Metaclustering Algorithms
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    Chapter 24 Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss
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    Chapter 25 On the Temporal Behavior of EEG Recorded during Real Finger Movement
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    Chapter 26 A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage
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    Chapter 27 A Decision Support System Based on the Semantic Analysis of Melanoma Images Using Multi-elitist PSO and SVM
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    Chapter 28 Authorship Similarity Detection from Email Messages
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    Chapter 29 An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data
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    Chapter 30 Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification
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    Chapter 31 Incremental Web-Site Boundary Detection Using Random Walks
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    Chapter 32 Discovering Text Patterns by a New Graphic Model
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    Chapter 33 Topic Sentiment Change Analysis
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    Chapter 34 Adaptive Context Modeling for Deception Detection in Emails
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    Chapter 35 Contrasting Correlations by an Efficient Double-Clique Condition
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    Chapter 36 Estimating Image Segmentation Difficulty
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    Chapter 37 Mining Spatial Trajectories Using Non-parametric Density Functions
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    Chapter 38 Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification
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    Chapter 39 A Comparison between Haralick´s Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images
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    Chapter 40 Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases
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    Chapter 41 Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling
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    Chapter 42 GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms
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    Chapter 43 Detection of Communities and Bridges in Weighted Networks
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    Chapter 44 Techniques for Improving Filters in Power Grid Contingency Analysis
Attention for Chapter 16: Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents
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Chapter title
Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents
Chapter number 16
Book title
Machine Learning and Data Mining in Pattern Recognition
Published by
Springer, Berlin, Heidelberg, August 2011
DOI 10.1007/978-3-642-23199-5_16
Book ISBNs
978-3-64-223198-8, 978-3-64-223199-5
Authors

Luiz Antonio Celiberto Junior, Jackson P. Matsuura, Celiberto Junior, Luiz Antonio, Matsuura, Jackson P.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%