Intelligent Data Engineering And Automated Learning - Ideal 2009 10th Internatio

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Intelligent Data Engineering And Automated Learning - Ideal 2009 10th Internatio

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Intelligent Data Engineering And Automated Learning - Ideal 2009 10th Internatio

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Intelligent Data Engineering And Automated Learning - Ideal 2009 10th Internatio

Learning And Information Processing.- Taking Advantage Of Class-specific Feature Selection.- Local Approximations.- Scis: Combining Instance Selection Methods To Increase Their Effectiveness Over A Wide Range Of Domains.- Supervised Feature Extraction Using Hilbert-schmidt Norms.- A Novel Estimation Of The Regularization Parameter For?-svm.- Nearest Neighbor Classification By Relearning.- Integrating Rough Set And Genetic Algorithm For Negative Rule Extraction.- Development Of A Conceptual Model For A Knowledge-based System For The Design Of Closed-loop Pid Controllers.- Lazy Classification Using An Optimized Instance-based Learner.- Adaptive Fuzzy Logic Controller And Its Application In Mems Mirror Actuation Feedback Control.- Detecting Computer Intrusions With Bayesian Networks.- Phase Load Balancing In The Secondary Distribution Network Using A Fuzzy Logic And A Combinatorial Optimization Based On The Newton Raphson.- Imperfect Pattern Recognition Using The Fuzzy Measure Theory.- K-means Clustering Seeds Initialization Based On Centrality, Sparsity, And Isotropy.- Recurrence-based Synchronization Of Single Trials For Eeg-data Analysis.- Feedrank: A Semantic-based Management System Of Web Feeds.- An Autonomous Learning Algorithm Of Resource Allocating Network.- Real-time Nose Detection And Tracking Based On Adaboost And Optical Flow Algorithms.- Hand Localization And Fingers Features Extraction: Application To Digit Recognition In Sign Language.- Interaction Detection In Aerodynamic Design Data.- Semi-supervised Outcome Prediction For A Type Of Human Brain Tumour Using Partially Labeled Mrs Information.- Optimizing Data Transformations For Classification Tasks.- The Minimum Redundancy - Maximum Relevance Approach To Building Sparse Support Vector Machines.- Discriminant Regression Analysis To Find Homogeneous Structures.- Learning From A Smarter Teacher.- Storm - A Novel Information Fusion And Cluster Interpretation Technique.- Discriminant Independent Component A
  • Brand: Springer Nature B.V
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2009-09-07
  • Publisher / Label: Springer Nature B.V
  • Author: Springer Nature B.V
  • Number of Pages: 852
  • Fruugo ID: 557243286-1125513072
  • ISBN: 9783642043932
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