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Author:   Henrik Boström ,  Arno Knobbe ,  Carlos Soares ,  Panagiotis Papapetrou
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   9897
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   6.321kg
ISBN:  

9783319463483

ISBN 10:   3319463489
Pages:   404
Publication Date:   21 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

DSCo-NG: A Practical Language Modeling Approach for Time Series Classification.- Ranking Accuracy for Logistic-GEE models.- The Morality Machine: Tracking Moral Values in Tweets.- A Hybrid Approach for Probabilistic Relational Models Structure Learning.- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks.- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm.- Visual Perception of Discriminative Landmarks in Classified Time Series.- Spotting the Diffusion of New Psychoactive Substances over the Internet.- Feature Selection Issues in Long-Term Travel Time Prediction.- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation.- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules.- A Toolkit for Analysis of Deep Learning Experiments.- The Optimistic Method for Model Estimation.- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML.- Learning from the News: Predicting Entity Popularity on Twitter.- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization.- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text.- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.- Widened Learning of Bayesian Network Classifiers.- Vote Buying Detection via Independent Component Analysis.- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining.- A Framework for Interpolating Scattered Data Using Space-filling Curves.- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited.- Bi-stochastic Matrix Approximation Framework for Data Co-clustering.- Sequential Cost-Sensitive Feature Acquisition.- Explainable and Efficient Link Prediction in Real-World Network Data.- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs.- Similarity Based Hierarchical Clustering with an Application to Text Collections.- Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues.- A First Step Toward Quantifying the Climate's Information Production over the Last 68,000 Years.- HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features.- Stability Evaluation of Event Detection Techniques for Twitter.- IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures.- An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data.- Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance.- Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering.  

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