Machine Learning and Knowledge Discovery in Databases

Table of Contents

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   Book Overview
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   Chapter 1 FLIP: Active Learning for Relational Network Classification
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   Chapter 2 Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density
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   Chapter 3 Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search
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   Chapter 4 Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families
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   Chapter 5 Statistical Hypothesis Testing in Positive Unlabelled Data
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   Chapter 6 Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
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   Chapter 7 Gaussian Process Multi-task Learning Using Joint Feature Selection
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   Chapter 8 Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning
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    Chapter 9 Scalable Information Flow Mining in Networks
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    Chapter 10 Link Prediction in Multi-modal Social Networks
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    Chapter 11 Faster Way to Agony
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    Chapter 12 Speeding Up Recovery from Concept Drifts
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    Chapter 13 Training Restricted Boltzmann Machines with Overlapping Partitions
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    Chapter 14 Integer Bayesian Network Classifiers
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    Chapter 15 Multi-target Regression via Random Linear Target Combinations
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    Chapter 16 Ratio-Based Multiple Kernel Clustering
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    Chapter 17 Evidence-Based Clustering for Scalable Inference in Markov Logic
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    Chapter 18 On Learning Matrices with Orthogonal Columns or Disjoint Supports
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    Chapter 19 Scalable Moment-Based Inference for Latent Dirichlet Allocation
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    Chapter 20 Unsupervised Feature Selection via Unified Trace Ratio Formulation and K -means Clustering (TRACK)
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    Chapter 21 On the Equivalence between Deep NADE and Generative Stochastic Networks
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    Chapter 22 Scalable Nonnegative Matrix Factorization with Block-wise Updates
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    Chapter 23 Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization
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    Chapter 24 Clustering Image Search Results by Entity Disambiguation
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    Chapter 25 Accelerating Model Selection with Safe Screening for L 1 -Regularized L 2 -SVM
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    Chapter 26 Kernel Alignment Inspired Linear Discriminant Analysis
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    Chapter 27 Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders
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    Chapter 28 Branty: A Social Media Ranking Tool for Brands
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    Chapter 29 MinUS : Mining User Similarity with Trajectory Patterns
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    Chapter 30 KnowNow: A Serendipity-Based Educational Tool for Learning Time-Linked Knowledge
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    Chapter 31 Khiops CoViz: A Tool for Visual Exploratory Analysis of k -Coclustering Results
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    Chapter 32 PYTHIA: Employing Lexical and Semantic Features for Sentiment Analysis
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    Chapter 33 Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine
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    Chapter 34 Propositionalization Online
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    Chapter 35 Interactive Medical Miner : Interactively Exploring Subpopulations in Epidemiological Datasets
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    Chapter 36 WebDR: A Web Workbench for Data Reduction
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    Chapter 37 GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series
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    Chapter 38 Machine Learning and Knowledge Discovery in Databases
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    Chapter 39 BestTime: Finding Representatives in Time Series Datasets
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    Chapter 40 BMaD – A Boolean Matrix Decomposition Framework
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    Chapter 41 Analyzing and Grounding Social Interaction in Online and Offline Networks
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    Chapter 42 Be Certain of How-to before Mining Uncertain Data
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    Chapter 43 Active Learning Is Planning: Nonmyopic ε -Bayes-Optimal Active Learning of Gaussian Processes
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    Chapter 44 Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization
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    Chapter 45 Distributional Clauses Particle Filter
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    Chapter 46 Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks
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    Chapter 47 Machine Learning Approaches for Metagenomics
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    Chapter 48 Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies
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    Chapter 49 Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights
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    Chapter 50 Agents Teaching Agents in Reinforcement Learning (Nectar Abstract)