Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 3642326382
[EAN: 9783642326387], Neubuch, [PU: Springer Berlin Heidelberg], ALGORITHMS DATAMINING MACHINELEARNING PATTERNRECOGNITION SWARMOPTIMIZATION ALGORITHMANALYSISANDPROBLEMCOMPLEXITY INFORMATI… Altro …
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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings - nuovo libro
2012, ISBN: 3642326382
2012 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Künstliche Intell… Altro …
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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings - nuovo libro
2012, ISBN: 3642326382
2012 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Künstliche Intell… Altro …
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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 9783642326387
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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 9783642326387
13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2012
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Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 3642326382
[EAN: 9783642326387], Neubuch, [PU: Springer Berlin Heidelberg], ALGORITHMS DATAMINING MACHINELEARNING PATTERNRECOGNITION SWARMOPTIMIZATION ALGORITHMANALYSISANDPROBLEMCOMPLEXITY INFORMATI… Altro …
Yin, Hujun (Herausgeber); Barreto, Guilherme (Herausgeber); Costa, Jose A. F. (Herausgeber):
Intelligent Data Engineering and Automated Learning -- IDEAL 2012 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings - nuovo libro2012, ISBN: 3642326382
2012 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Künstliche Intell… Altro …
Intelligent Data Engineering and Automated Learning -- IDEAL 2012 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings - nuovo libro
2012
ISBN: 3642326382
2012 Kartoniert / Broschiert Algorithmen und Datenstrukturen, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Theoretische Informatik, Künstliche Intell… Altro …
Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 9783642326387
[ED: Kartoniert / Broschiert], [PU: Springer Berlin Heidelberg], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast-track conference pro… Altro …
Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - edizione con copertina flessibile
2012, ISBN: 9783642326387
13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2012
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Informazioni dettagliate del libro - Intelligent Data Engineering and Automated Learning -- IDEAL 2012
EAN (ISBN-13): 9783642326387
ISBN (ISBN-10): 3642326382
Copertina flessibile
Anno di pubblicazione: 2012
Editore: Springer Berlin
Libro nella banca dati dal 2013-01-16T00:35:57+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2024-03-14T12:23:19+01:00 (Rome)
ISBN/EAN: 9783642326387
ISBN - Stili di scrittura alternativi:
3-642-32638-2, 978-3-642-32638-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : yin, barret, barre, barrè, barré, josé costa, barreto
Titolo del libro: brazil, idea, natal, application, ideal, learning from data
Dati dell'editore
Autore: Hujun Yin; Jose A.F. Costa; Guilherme Barreto
Titolo: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Intelligent Data Engineering and Automated Learning -- IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings
Editore: Springer; Springer Berlin
862 Pagine
Anno di pubblicazione: 2012-07-20
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XXI, 862 p. 280 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; algorithms; data mining; machine learning; pattern recognition; swarm optimization; algorithm analysis and problem complexity; Data Mining and Knowledge Discovery; Automated Pattern Recognition; Artificial Intelligence; Algorithms; Information Storage and Retrieval; Theory of Computation; Wissensbasierte Systeme, Expertensysteme; Mustererkennung; Künstliche Intelligenz; Algorithmen und Datenstrukturen; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Theoretische Informatik; EA
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Perceptron with Particle Swarm in Image.-An Improved ABC Algorithm Approach Using SURF for Face Identification.-A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze.-Data Clustering Using Hybrid Particle Swarm Optimization.-A Learning-to-Rank Algorithm for Constructing Defect Prediction Models.-Multilayer Perceptrons as Classifiers Guided by Mutual Information and Trained with Genetic Algorithms.-Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction.-3D Fuzzy GIST to Analyze Emotional Features in Movies.-Interactive Information Retrieval Algorithm forWikipedia Articles.-Prototype Based Modelling for Ordinal Classification.-A Genetic Graph-Based Clustering Algorithm.-Echo State Networks for Seasonal Streamflow Series Forecasting.-Face Segmentation Using Projection Pursuit for Texture Classification.-Visual Data Mining for Identification of Patterns and Outliers
in Weather Stations’ Data.-RSGALS-SVM: Random Subspace Method Applied to a LS-SVM
Ensemble Optimized by Genetic Algorithm.-Optimizing the Extreme Learning Machine Using Harmony Search for Hydrologic Time Series Forecasting.-Towards Efficient Similar Sentences Extraction.-Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction.-Visualization of Predictive Distributions for Discrete Spatial-Temporal
Log Cox Processes Approximated with MCMC.-Soft Sensor for Fluoridated Alumina Inference in Gas Treatment Centers .-Estimation of Aluminium Fluoride Concentration in Aluminium Reduction Cells through a Soft Sensors Approach.-Discovering the Rules of a Elementary One-Dimensional Automaton.-Perceptron Models for Online Structured Prediction.-A Weightless Neural Network-Based Approach for Stream Data Clustering.-Cloud Computing Environments for Biomedical Data Services.-Comparing Particle Swarm Optimization Approaches for Training Multi-Layer Perceptron Neural Networks for Forecasting.-Hybrid Architecture to Predict Trends at Stock Exchange of S˜ao Paulo:
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lang="EN-US">Scheme.-Local Fuzzy Pattern: A New Way for Micro-pattern Analysis.-Evolving Fuzzy Classifier Based on the Modified ECM Algorithm for Pattern Classification.-Overhead-Controlled Routing in WSNs with Reinforcement Learning.-Metaheuristic GRASP with Path-Relinking to the Solution of the Graph Partitioning Problem with Capacity and Connexity Constraints.-A Self-organizing Genetic Algorithm for UWB Microstrip Antenna Optimization Using a Machine Learning Technique.-Error Concealment by Means of Motion Refinement and Regularized Bregman Divergence.-Computational Intelligence Applied to Competitiveness Evaluation of Supply Chains: An Adaptive Neuro-Fuzzy Model.-Experimental Comparison of DWT and DFT for Trajectory Representation.-Classification Rule Discovery with Ant Colony Optimization Algorithm.-Improving Differential Evolution Accuracy for Flexible Ligand Docking Using a Multi-solution Strategy.-Fault Identification in Doubly Fed Induction Generator Using FFT and Neural Networks.-Classification of Pharmaceutical Solid Excipients Using Self-Organizing Maps.-Regional Models for Nonlinear System Identification Using the Self-Organizing Map.-Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs.-Root Attribute Behavior within a Random Forest.-Fault Detection in Continuous Industrial Chemical Processes: A New Approach Using the Hidden Markov Modeling. Case Study: A Boiler from a Brazilian Cellulose Pulp Mill.-Modified Reducts and Their Processing for Nearest Neighbor Classification.-Credit Scoring for SME Using a Manifold Supervised Learning Algorithm.-Sentiment Proxies: Computing Market Volatility.-Performance Evaluation of Hybrid Implementation of Support Vector Machine.-Advanced CT and MR Image Processing with FPGA.-New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets.-Application of an Hybrid Bio-inspired Meta-heuristic in the Optimization of Two-Dimensional Guillotine Cutting in an Glass Industry.-Photovoltaic Power Plant Output Estimation by Neural Networks and Fuzzy Inference.-An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis.-Application of a Perceptron Artificial Neural Network for Building the Stability of a Mining Process.-Merge Method for Shape-Based Clustering in Time Series Microarray Analysis.-Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules.-Cost-Sensitive Splitting and Selection Method for Medical Decision Support System.
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