ISBN: 9783540287575 - pattern recognition and data mining: third international conference on advances in pattern recognition, icar 2005, bath, uk, august 22-25, 2005, part i (lecture notes in computer science, band 3686) (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer Berlin Heidelberg, 2005

    3540287574 / 9783540287575

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    Zustand: New. Pattern Recognition and Data Mining.- Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies.- Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines.- Empirical Bounds on Error .

  • Sprache: Englisch

    Verlag: Springer, 2005

    3540287574 / 9783540287575

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    Taschenbuch. Zustand: Neu. Pattern Recognition and Data Mining | Third International Conference on Advances in Pattern Recognition, ICAR 2005, Bath, UK, August 22-25, 2005, Part I | Sameer Singh (u. a.) | Taschenbuch | xxvi | Englisch | 2005 | Springer | EAN 9783540287575 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Springer, 2005

    3540287574 / 9783540287575

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Pattern Recognition and Data Mining.- Enhancing Trie-Based Syntactic Pattern Recognition Using AI Heuristic Search Strategies.- Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines.- Empirical Bounds on Error Differences When Using Naive Bayes.- Effective Probability Forecasting for Time Series Data Using Standard Machine Learning Techniques.- A Continuous Weighted Low-Rank Approximation for Collaborative Filtering Problems.- GP Ensemble for Distributed Intrusion Detection Systems.- Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections.- On Adaptive Confidences for Critic-Driven Classifier Combining.- The RW2 Algorithm for Exact Graph Matching.- Making Use of Unelaborated Advice to Improve Reinforcement Learning: A Mobile Robotics Approach.- Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation.- Discovering Predictive Variables When Evolving Cognitive Models.- Mathematical Morphology and Binary Geodesy for Robot Navigation Planning.- Neural Network Classification: Maximizing Zero-Error Density.- Taxonomy of Classifiers Based on Dissimilarity Features.- Combination of Boosted Classifiers Using Bounded Weights.- Prediction of Commodity Prices in Rapidly Changing Environments.- Develop Multi-hierarchy Classification Model: Rough Set Based Feature Decomposition Method.- On Fitting Finite Dirichlet Mixture Using ECM and MML.- Disease Classification from Capillary Electrophoresis: Mass Spectrometry.- Analyzing Large Image Databases with the Evolving Tree.- A Sequence Labeling Method Using Syntactical and Textual Patterns for Record Linkage.- Recognition Tasks Are Imitation Games.- Use of Input Deformations with Brownian Motion Filters forDiscontinuous Regression.- Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints.- An Optimally Weighted Fuzzy k-NN Algorithm.- A Tabu Search Based Method for Minimum Sum of Squares Clustering.- Approximation of Digital Circles by Regular Polygons.- A Novel Feature Fusion Method Based on Partial Least Squares Regression.- Combining Text and Link Analysis for Focused Crawling.- A Weighting Initialization Strategy for Weighted Support Vector Machines.- Configuration of Neural Networks for the Analysis of Seasonal Time Series.- Boosting Feature Selection.- Similarity Searching in Image Retrieval with Statistical Distance Measures and Supervised Learning.- Using Patterns to Generate Prime Numbers.- Empirical Study on Weighted Voting Multiple Classifiers.- Spectral Clustering for Time Series.- A New EM Algorithm for Resource Allocation Network.- A Biased Support Vector Machine Approach to Web Filtering.- A New Approach to Generate Frequent Patterns from Enterprise Databases.- Consolidated Tree Classifier Learning in a Car Insurance Fraud Detection Domain with Class Imbalance.- Missing Data Estimation Using Polynomial Kernels.- Predictive Model for Protein Function Using Modular Neural Approach.- Using kNN Model for Automatic Feature Selection.- Multi-view EM Algorithm for Finite Mixture Models.- Segmentation Evaluation Using a Support Vector Machine.- Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features.- Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules.- Accuracy of String Kernels for Protein Sequence Classification.- An Efficient Feature Selection Method for Object Detection.- Multi-SOMs: A New Approach to Self Organised Classification.- Selection of Classifiers Using Information-Theoretic Criteria.- ICA and GA Feature Extraction and Selection for Cloud Classification.- Signal Processing.- A Study on Robustness of Large Vocabulary Mandarin Chinese Continuous Speech Recognition System Based on Wavelet Analysis.- Recognition of Insect Emissions Applying the Discrete Wavelet Transform.- On the Performance of Hurst-Vectors for Speaker Identification Systems.- Transformations of LPC and LSF Parameters to.…