000			05024nam a22005895i 4500
001			978-3-642-12127-2
003			DE-He213
005			20160624102141.0
007			cr nn 008mamaa
008			100325s2010 gw | s |||| 0|eng d
020			_a9783642121272 _9978-3-642-12127-2
024	7		_a10.1007/978-3-642-12127-2 _2doi
050		4	_aQA76.76.A65
072		7	_aUNH _2bicssc
072		7	_aUDBD _2bicssc
072		7	_aCOM032000 _2bisacsh
082	0	4	_a005.7 _223
245	1	0	_aMultiple Classifier Systems _h[electronic resource] : _b9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010. Proceedings / _cedited by Neamat Gayar, Josef Kittler, Fabio Roli.
260		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aX, 328p. 77 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v5997
505	0		_aClassifier Ensembles(I) -- Weighted Bagging for Graph Based One-Class Classifiers -- Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers -- New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization -- Incremental Learning of New Classes in Unbalanced Datasets: Learn?+?+?.UDNC -- Tomographic Considerations in Ensemble Bias/Variance Decomposition -- Choosing Parameters for Random Subspace Ensembles for fMRI Classification -- Classifier Ensembles(II) -- An Experimental Study on Ensembles of Functional Trees -- Multiple Classifier Systems under Attack -- SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning -- Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach -- A Double Pruning Algorithm for Classification Ensembles -- Estimation of the Number of Clusters Using Multiple Clustering Validity Indices -- Classifier Diversity -- “Good” and “Bad” Diversity in Majority Vote Ensembles -- Multi-information Ensemble Diversity -- Classifier Selection -- Dynamic Selection of Ensembles of Classifiers Using Contextual Information -- Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems -- Combining Multiple Kernels -- A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities -- Combining Multiple Kernels by Augmenting the Kernel Matrix -- Boosting and Bootstrapping -- Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles -- Boosted Geometry-Based Ensembles -- Online Non-stationary Boosting -- Handwriting Recognition -- Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting -- Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition -- Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition -- Applications -- Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting -- A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM -- A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation -- A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression -- Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells -- An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction -- Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network -- Invited Papers -- Some Thoughts at the Interface of Ensemble Methods and Feature Selection -- Multiple Classifier Systems for the Recogonition of Human Emotions -- Erratum -- Erratum.
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation systems.
650		0	_aOptical pattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aInformation Systems Applications (incl.Internet).
650	2	4	_aPattern Recognition.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aComputation by Abstract Devices.
650	2	4	_aDatabase Management.
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aGayar, Neamat. _eeditor.
700	1		_aKittler, Josef. _eeditor.
700	1		_aRoli, Fabio. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642121265
786			_dSpringer
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v5997
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-12127-2
942			_2EBK8971 _cEBK
999			_c38265 _d38265