marcus gallagher (26 résultats)

Paperback. Etat : Brand New. 182 pages. 9.00x6.00x0.41 inches. In Stock.

Hardcover. Etat : Fine. 1st Edition. Burgundy faux leather hardcover in excellent, unmarked, next-to-pristine condition (slight handling). 338 pages, with female submission photographs, including nudity. [3.2 lbs]. Book.

Etat : New. In.

Etat : Like New. Wanda Marie Gallagher (illustrateur). Used - Like New. Book is new and unread but may have minor shelf wear. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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Etat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

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Etat : New. pp. 624.

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.\*The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning.\*The conference was held virtually due to the COVID-19 pandemic.

Taschenbuch. Etat : Neu. Intelligent Data Engineering and Automated Learning - IDEAL 2005 | 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings | Marcus Gallagher (u. a.) | Taschenbuch | xvi | Englisch | 2005 | Springer | EAN 9783540269724 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The ongoing success of the Intelligent Data Engineering and Automated Lea- ing (IDEAL) conference series re ects the continuing need for intelligent - proaches to understanding relationships in the massive data sets which confront the modern researcher. FromitsoriginsinHongKongin1998,this focusupon thenatureofthe data hasbeenthe unifyingtheme oftheconference,allowingittobecomeakeyforum forresearcherstopresentnovelapproachestodataengineeringandlearning,and to provide a particularly valuable opportunity for cross-disciplinary exchange of ideasinemergingapplicationareas.Thisbreadthandcontinualevolutionm aybe seen in this year s programme, with sessions devoted to data mining and kno- edge engineering, bioinformatics, agent technologies and nancial engineering, together with the traditional focus on learning algorithms and systems. This volume in the Lecture Notes in Computer Science series contains - cepted papers presented at IDEAL 2005, held in Brisbane, Australia, during July 6 8, 2005. The conference received 167 submissions from throughout the world, which were subsequently refereed by the Programme Committee and - ditional reviewers. The vast majority of submissions received three independent reviews, and for some borderline submissions an additional, fourth review was commissioned prior to the decision being made. In the end, 76 papers were judged to be of su cient quality for acceptance and inclusion in the proceedings, with a smaller set of these articles to be c- sidered for inclusion in planned special issues of a number of major journals continuing a practice from recent IDEAL conferences. At the time of writing, this arrangement had been con rmed with the International Journal of Neural Systems, and discussions were well advanced with two other publications.

Paperback. Etat : New. New. book.

Paperback. Etat : Like New. Like New. book.

Etat : new. Questo è un articolo print on demand.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.\*The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning.\*The conference was held virtually due to the COVID-19 pandemic. 488 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ongoing success of the Intelligent Data Engineering and Automated Lea- ing (IDEAL) conference series re ects the continuing need for intelligent - proaches to understanding relationships in the massive data sets which confront the modern researcher. FromitsoriginsinHongKongin1998,this focusupon thenatureofthe data hasbeenthe unifyingtheme oftheconference,allowingittobecomeakeyforum forresearcherstopresentnovelapproachestodataengineeringandlearning,and to provide a particularly valuable opportunity for cross-disciplinary exchange of ideasinemergingapplicationareas.Thisbreadthandcontinualevolutionmaybe seen in this year s programme, with sessions devoted to data mining and kno- edge engineering, bioinformatics, agent technologies and nancial engineering, together with the traditional focus on learning algorithms and systems. This volume in the Lecture Notes in Computer Science series contains - cepted papers presented at IDEAL 2005, held in Brisbane, Australia, during July 6 8, 2005. The conference received 167 submissions from throughout the world, which were subsequently refereed by the Programme Committee and - ditional reviewers. The vast majority of submissions received three independent reviews, and for some borderline submissions an additional, fourth review was commissioned prior to the decision being made. In the end, 76 papers were judged to be of su cient quality for acceptance and inclusion in the proceedings, with a smaller set of these articles to be c- sidered for inclusion in planned special issues of a number of major journals continuing a practice from recent IDEAL conferences. At the time of writing, this arrangement had been con rmed with the International Journal of Neural Systems, and discussions were well advanced with two other publications. 620 pp. Englisch.

Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.*The 36 full papers presented in this volume were carefully reviewed and selected from.

Etat : New. Print on Demand.

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data Mining and Knowledge Engineering.- EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data.- Synthetic Environment Representational Semantics Using the Web Ontology Language.- New Rules for Hybrid Spatial Reasoning.- Using Pre-agg.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.\*The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning.\*The conference was held virtually due to the COVID-19 pandemic.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.

Etat : New. Print on Demand pp. 624 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining and Knowledge Engineering.- EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data.- Synthetic Environment Representational Semantics Using the Web Ontology Language.- New Rules for Hybrid Spatial Reasoning.- Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments.- Model Trees for Classification of Hybrid Data Types.- Finding Uninformative Features in Binary Data.- Knowledge Reduction of Rough Set Based on Partition.- Multiresolution Analysis of Connectivity.- Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval.- Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm.- Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique.- Automatic Image Annotation Based on Topic-Based Smoothing.- A Focused Crawler with Document Segmentation.- An Intelligent Grading System Using Heterogeneous Linguistic Resources.- Probabilistic Data Generation for Deduplication and Data Linkage.- Mining Job Logs Using Incremental Attribute-Oriented Approach.- Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components.- Classification by Instance-Based Learning Algorithm.- Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter.- Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain.- Using Support Vector Machine for Modeling of Pulsed GTAW Process.- Design of Simple Structure Neural Voltage Regulator for Power Systems.- EEG Source Localization for Two Dipoles in the Brain Using a Combined Method.- Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller.- Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model.- Learning Algorithms and Systems.- Neural Networks: A Replacement for Gaussian Processes .- A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection.- Bayesian Radial Basis Function Neural Network.- An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.- Designing an Optimal Network Using the Cross-Entropy Method.- Generating Predicate Rules from Neural Networks.- Improving Ensembles with Classificational Cellular Automata.- A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection.- A Novel Anomaly Detection Using Small Training Sets.- Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees.- Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement.- Sequential Search for Decremental Edition.- Bearing Similarity Measures for Self-organizing Feature Maps.- Efficient Spatial Clustering Algorithm Using Binary Tree.- Cluster Analysis of High-Dimensional Data: A Case Study.- Universal Clustering with Family of Power Loss Functions in Probabilistic Space.- Circular SOM for Temporal Characterisation of Modelled Gene Expressions.- Recursive Self-organizing Map as a Contractive Iterative Function System.- Differential Priors for Elastic Nets.- Graphics Hardware Implementation of the Parameter-Less Self-organising Map.- Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.- SOM-Based Novelty Detection Using Novel Data.- Multi-level Document Classifications with Self-organising Maps.- Bioinformatics.- Predictive Vaccinology: Optimisation of Predictions Using SupportVector Machine Classifiers.- Evolving Neural Networks for the Classification of Malignancy Associated Changes.- Matching Peptide Sequences with Mass Spectra.- Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources.- A Multi-population 2 Test Approach to Informative Gene Selection.- Gene Selection of DNA Microarray Data Based onSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 620 pp. Englisch.

Etat : New. PRINT ON DEMAND pp. 624.