Advances in intelligent data analysi...
International Symposium on Intelligent Data Analysis (2016 :)

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  • Advances in intelligent data analysis XV = 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advances in intelligent data analysis XV/ edited by Henrik Bostrom ... [et al.].
    其他題名: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016 : proceedings /
    其他題名: Advances in intelligent data analysis 15
    其他作者: Bostrom, Henrik.
    團體作者: International Symposium on Intelligent Data Analysis
    出版者: Cham :Springer International Publishing : : 2016.,
    面頁冊數: xiii, 404 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer eBooks
    標題: Pattern recognition systems - Congresses. -
    電子資源: http://dx.doi.org/10.1007/978-3-319-46349-0
    ISBN: 9783319463490$q(electronic bk.)
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