Machine Learning and Knowledge Discovery in Databases

Table of Contents

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   Book Overview
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   Chapter 1 Sparse Kernel-SARSA(λ) with an Eligibility Trace
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   Chapter 2 Influence and Passivity in Social Media
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   Chapter 3 Preference Elicitation and Inverse Reinforcement Learning
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   Chapter 4 A Novel Framework for Locating Software Faults Using Latent Divergences
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   Chapter 5 Transfer Learning with Adaptive Regularizers
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   Chapter 6 Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature
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   Chapter 7 Active Supervised Domain Adaptation
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   Chapter 8 Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation
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    Chapter 9 Resource-Aware On-line RFID Localization Using Proximity Data
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    Chapter 10 On the Stratification of Multi-label Data
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    Chapter 11 Learning First-Order Definite Theories via Object-Based Queries
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    Chapter 12 Fast Support Vector Machines for Structural Kernels
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    Chapter 13 Generalized Agreement Statistics over Fixed Group of Experts
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    Chapter 14 Compact Coding for Hyperplane Classifiers in Heterogeneous Environment
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    Chapter 15 Multi-label Ensemble Learning
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    Chapter 16 Rule-Based Active Sampling for Learning to Rank
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    Chapter 17 Parallel Structural Graph Clustering
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    Chapter 18 Aspects of Semi-supervised and Active Learning in Conditional Random Fields
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    Chapter 19 Comparing Probabilistic Models for Melodic Sequences
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    Chapter 20 Fast Projections onto ℓ1,q -Norm Balls for Grouped Feature Selection
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    Chapter 21 Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval
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    Chapter 22 Network Regression with Predictive Clustering Trees
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    Chapter 23 Learning from Label Proportions by Optimizing Cluster Model Selection
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    Chapter 24 The Minimum Code Length for Clustering Using the Gray Code
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    Chapter 25 Learning to Infer Social Ties in Large Networks
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    Chapter 26 Comparing apples and oranges: measuring differences between exploratory data mining results
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    Chapter 27 Learning Monotone Nonlinear Models Using the Choquet Integral
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    Chapter 28 Feature Selection for Transfer Learning
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    Chapter 29 Multiview Semi-supervised Learning for Ranking Multilingual Documents
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    Chapter 30 Non-redundant Subgroup Discovery in Large and Complex Data
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    Chapter 31 Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation
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    Chapter 32 A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks
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    Chapter 33 Correcting Bias in Statistical Tests for Network Classifier Evaluation
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    Chapter 34 Differentiating Code from Data in x86 Binaries
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    Chapter 35 Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound
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    Chapter 36 Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion
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    Chapter 37 iDVS: An Interactive Multi-document Visual Summarization System
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    Chapter 38 Discriminative Experimental Design
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    Chapter 39 Active Learning with Evolving Streaming Data
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    Chapter 40 Celebrity Watch: Browsing News Content by Exploiting Social Intelligence
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    Chapter 41 MOA: A Real-Time Analytics Open Source Framework
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    Chapter 42 L-SME: A System for Mining Loosely Structured Motifs
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    Chapter 43 The MASH Project
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    Chapter 44 Activity Recognition with Mobile Phones
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    Chapter 45 MIME: A Framework for Interactive Visual Pattern Mining
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    Chapter 46 InFeRno – An Intelligent Framework for Recognizing Pornographic Web Pages
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    Chapter 47 MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata
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    Chapter 48 TRUMIT: A Tool to Support Large-Scale Mining of Text Association Rules
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    Chapter 49 Traffic Jams Detection Using Flock Mining
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    Chapter 50 Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures