Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings
Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings
复制标题
多分类器系统：第一届国际研讨会，MCS 2000 卡利亚里，意大利，2000 年 6 月 21-23 日
DOI：
--
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Fabio Roli
中科院分区：
文献类型：
--
作者：
Josef Kittler;Fabio Roli
机器学习中的集成方法。-使用分类器组合规则的实验。-集成组合的“测试和选择”方法。-雪松大学手写短语识别中单词识别器的顺序组合概述。-不同输出级别的多分类器组合方法。-监督学习的数学严谨基础。-分类器组合：实施和理论问题。-关于用于提高回归和分类的弱精确度基本学习器的一些结果。-分类问题的复杂性和组合分类器的比较优势。-多类学习问题中纠错输出代码的有效性。-组合Fisher线性判别式用于不相似表示。-学习方法-用于粗糙分类的特征选择。-用于组合边缘分类器的融合方法的分析。-基于投影和径向基函数的混合结构。-在概率神经网络中组合多个分类器。-通过广义加法多模型进行有监督的分类器组合。-动态分类器选择。-线性判别分析中的增强。-弱化决策树的不同方法及其对DT组合分类精度的影响。-将增强应用于时间序列分类的相似文字。-基于树的分类器的增强用于在地理信息系统中进行预测风险建模。-多专家系统设计中专家组合的新评估方法。-多样性-用于建立多分类器系统的神经网络和决策树之间的关系。-功能的自组织分解。-分类器的不稳定性和分割。-用于高光谱数据分析的分层多分类器系统。-基于共识的多源遥感数据分类。-结合参数和非参数分类器用于无监督更新土地覆盖图。-用于遥感分类的多重自组织映射方案。-使用词典密度评估单词识别器。-用于动态签名验证的多专家系统。-用于验证的级联多专家系统。-使用熵措施的分类器组合的体系结构。-组合指纹分类器。-生物特征人识别框架中不同分类器融合的统计传感器校准。-用于乐器分类的模块化神经-模糊网络。-用于语法制导句子识别的分类器组合。-通过图形和背景分类器阵列进行形状匹配和提取。
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.