Multiple Classifier Systems 12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Schwenker, Friedhelm (Επιμελητής έκδοσης), Roli, Fabio (Επιμελητής έκδοσης), Kittler, Josef (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Lecture Notes in Computer Science, 9132
• Θέματα: Computer science.; Data mining.; Information storage and retrieval.; Image processing.; Pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Pattern Recognition.; Image Processing and Computer Vision.; Information Storage and Retrieval.

This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple cl...

Πίνακας περιεχομένων:

• A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models
• A Hierarchical Ensemble Method for DAG-Structured Taxonomies
• Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble
• Fractional Programming Weighted Decoding for Error-Correcting Output Codes
• Instance-Based Decompositions of Error Correcting Output Codes
• Pruning Bagging Ensembles with Metalearning
• Multi-label Selective Ensemble
• Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation
• Detecting Ordinal Class Structures
• Calibrating AdaBoost for Asymmetric Learning
• Building Classifier Ensembles Using Greedy Graph Edit Distance
• Measuring the Stability of Feature Selection with Applications to Ensemble Methods
• Suboptimal Graph Edit Distance Based on Sorted Local Assignments
• Multimodal PLSA for Movie Genre Classification
• One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time
• An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees
• Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective
• An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles
• Bio-Visual Fusion for Person Independent Recognition of Pain Intensity.