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020			_a9783319202488 _z978-3-319-20248-8
024	7		_a10.1007/978-3-319-20248-8 _2doi
050		4	_aQA76.9.D343
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245	1	0	_aMultiple Classifier Systems : _b12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings / _cedited by Friedhelm Schwenker, Fabio Roli, Josef Kittler.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aImage Processing, Computer Vision, Pattern Recognition, and Graphics ; _v9132
505	0		_aA 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.
520			_aThis 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 classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
650		0	_aData mining.
650		0	_aOptical pattern recognition.
650		0	_aComputer vision.
650		0	_aInformation storage and retrieva.
650	1	4	_aData Mining and Knowledge Discovery. _0http://scigraph.springernature.com/things/product-market-codes/I18030
650	2	4	_aPattern Recognition. _0http://scigraph.springernature.com/things/product-market-codes/I2203X
650	2	4	_aImage Processing and Computer Vision. _0http://scigraph.springernature.com/things/product-market-codes/I22021
650	2	4	_aInformation Storage and Retrieval. _0http://scigraph.springernature.com/things/product-market-codes/I18032
700	1		_aSchwenker, Friedhelm. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRoli, Fabio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKittler, Josef. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-319-20248-8 _3Springer eBooks _zOnline access link to the resource
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