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|a 9783540450146
|9 978-3-540-45014-6
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|a 10.1007/3-540-45014-9
|2 doi
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|a Multiple Classifier Systems
|h [electronic resource] :
|b First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings /
|c edited by Josef Kittler, Fabio Roli.
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|a 1st ed. 2000.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2000.
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|a XII, 408 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 1857
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|a Ensemble Methods in Machine Learning -- Experiments with Classifier Combining Rules -- The "Test and Select" Approach to Ensemble Combination -- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR -- Multiple Classifier Combination Methodologies for Different Output Levels -- A Mathematically Rigorous Foundation for Supervised Learning -- Classifier Combinations: Implementations and Theoretical Issues -- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification -- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers -- Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems -- Combining Fisher Linear Discriminants for Dissimilarity Representations -- A Learning Method of Feature Selection for Rough Classification -- Analysis of a Fusion Method for Combining Marginal Classifiers -- A hybrid projection based and radial basis function architecture -- Combining Multiple Classifiers in Probabilistic Neural Networks -- Supervised Classifier Combination through Generalized Additive Multi-model -- Dynamic Classifier Selection -- Boosting in Linear Discriminant Analysis -- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination -- Applying Boosting to Similarity Literals for Time Series Classification -- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS -- A New Evaluation Method for Expert Combination in Multi-expert System Designing -- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems -- Self-Organizing Decomposition of Functions -- Classifier Instability and Partitioning -- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis -- Consensus Based Classification of Multisource Remote Sensing Data -- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps -- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification -- Use of Lexicon Density in Evaluating Word Recognizers -- A Multi-expert System for Dynamic Signature Verification -- A Cascaded Multiple Expert System for Verification -- Architecture for Classifier Combination Using Entropy Measures -- Combining Fingerprint Classifiers -- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework -- A Modular Neuro-Fuzzy Network for Musical Instruments Classification -- Classifier Combination for Grammar-Guided Sentence Recognition -- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers.
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|a Pattern recognition.
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|a Artificial intelligence.
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|a Optical data processing.
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|a Algorithms.
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|a Computers.
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|a Pattern Recognition.
|0 http://scigraph.springernature.com/things/product-market-codes/I2203X
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Image Processing and Computer Vision.
|0 http://scigraph.springernature.com/things/product-market-codes/I22021
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|a Algorithm Analysis and Problem Complexity.
|0 http://scigraph.springernature.com/things/product-market-codes/I16021
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|a Computation by Abstract Devices.
|0 http://scigraph.springernature.com/things/product-market-codes/I16013
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|a Kittler, Josef.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Roli, Fabio.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662168264
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776 |
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|i Printed edition:
|z 9783540677048
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 1857
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4 |
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|u https://doi.org/10.1007/3-540-45014-9
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a ZDB-2-BAE
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|a Computer Science (Springer-11645)
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