Buch

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Übersicht

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Verlag	:	Springer International Publishing
Buchreihe	:	Lecture Notes in Computer Science (Bd. 9385), Information Systems and Applications, incl. Internet/Web, and HCI
Sprache	:	Englisch
Erschienen	:	09. 10. 2015
Seiten	:	346
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
Gewicht	:	575 g
ISBN	:	9783319244648
Sprache	:	Englisch

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Inhaltsverzeichnis

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Data
analytics and optimization for assessing a ride sharing system.- Constraint-Based
Querying for Bayesian Network Exploration.- Efficient Model Selection for
Regularized Classification by Exploiting Unlabeled Data.- Segregation Discovery
in a Social Network of Companies.- A first+-order-logic based model for
grounded language learning.- A parallel distributed processing algorithm for
image feature extraction.- Modeling concept drift: A probabilistic graphical
model based approach.- Diversity-driven Widening of Hierarchical Agglomerative
Clustering.- Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum
Margin Clustering.- Time Series Classification with Representation Ensembles.- Simultaneous
Clustering and Model Selection for Multinomial Distribution: A Comparative
Study.- On Binary Reduction of Large-scale Multiclass Classification Problems.-
Probabilistic Active Learning in Data Streams.- Implicitly Constrained
Semi-Supervised Least Squares Classification.- Diagonal Co-clustering Algorithm
for Document-Word Partitioning.- I-Louvain: an attributed graph clustering
method.- Class-based outlier detection: staying zombies or awaiting for
resurrection?.- Using Metalearning for Prediction of Taxi Trip Duration Using
Different Granularity Levels.- Using entropy as a measure of acceptance for
multi-label classification.- Investigation of Node Deletion Techniques for
Clustering Applications of Growing Self Organizing Maps.- Exploratory topic
modeling with distributional semantics.- Assigning Geo-Relevance of Sentiments
Mined from Location-Based Social Media Posts.- Continuous and Discrete Deep
Classifiers for Data Integration.- A Bayesian Approach for Identifying
Multivariate Differences Between Groups.- Automatically Discovering Offensive
Patterns in Soccer Match Data.- Fast Algorithm Selection using Learning
Curves.- Optimally Weighted Cluster Kriging for Big Data Regression.- Slower
can be faster: The iRetis incremental model tree learner.- VoQs: A Web
Application for Visualization of Questionnaire Surveys.

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