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2008, ISBN: 9783540874805
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Walter Daelemans; Katharina Morik:
Machine Learning and Knowledge Discovery in Databases - Taschenbuch2008, ISBN: 9783540874805
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 200… Mehr…
Machine Learning and Knowledge Discovery in Databases European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II - neues Buch
2008
ISBN: 3540874801
2008 Kartoniert / Broschiert Algorithmus, Datenverarbeitung / Anwendungen / Mathematik, Statistik, Datenverarbeitung / Informationsmanagement, Intelligenz / Künstliche Intelligenz, KI, … Mehr…
2008, ISBN: 9783540874805
*Machine Learning and Knowledge Discovery in Databases* - European Conference Antwerp Belgium September 15-19 2008 Proceedings Part II. Auflage 2008 / Taschenbuch für 106.99 € / Aus dem B… Mehr…
2008, ISBN: 9783540874805
European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2008
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Detailangaben zum Buch - Machine Learning and Knowledge Discovery in Databases
EAN (ISBN-13): 9783540874805
ISBN (ISBN-10): 3540874801
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: Springer Berlin Heidelberg
698 Seiten
Gewicht: 1,021 kg
Sprache: eng/Englisch
Buch in der Datenbank seit 2008-11-27T01:30:29+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-02-12T13:09:54+01:00 (Berlin)
ISBN/EAN: 9783540874805
ISBN - alternative Schreibweisen:
3-540-87480-1, 978-3-540-87480-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: goethals, daelemans, katharina walter, dael
Titel des Buches: antwerp, belgium dat, proceedings artificial intelligence conference, the machine seen, machine learning and data science, lecture notes artificial intelligence, september 2008, knowledge discovery databases
Daten vom Verlag:
Autor/in: Walter Daelemans; Katharina Morik
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning and Knowledge Discovery in Databases - European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II
Verlag: Springer; Springer Berlin
698 Seiten
Erscheinungsjahr: 2008-09-04
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XXIII, 698 p.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Bayesian network; Boosting; Support Vector Machine; Web mining; active learning; algorithmic learning; association rule mining; bayesian learning; case-based learning; classification; clustering; data mining; database; machine learning; reinforcement learning; algorithm analysis and problem complexity; Artificial Intelligence; Database Management; Information Storage and Retrieval; Formal Languages and Automata Theory; Algorithms; Probability and Statistics in Computer Science; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Theoretische Informatik; Algorithmen und Datenstrukturen; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; EA
Regular Papers.- Exceptional Model Mining.- A Joint Topic and Perspective Model for Ideological Discourse.- Effective Pruning Techniques for Mining Quasi-Cliques.- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain.- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs.- A New Natural Policy Gradient by Stationary Distribution Metric.- Towards Machine Learning of Grammars and Compilers of Programming Languages.- Improving Classification with Pairwise Constraints: A Margin-Based Approach.- Metric Learning: A Support Vector Approach.- Support Vector Machines, Data Reduction, and Approximate Kernel Matrices.- Mixed Bregman Clustering with Approximation Guarantees.- Hierarchical, Parameter-Free Community Discovery.- A Genetic Algorithm for Text Classification Rule Induction.- Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness.- Kernel-Based Inductive Transfer.- State-Dependent Exploration for Policy Gradient Methods.- Client-Friendly Classification over Random Hyperplane Hashes.- Large-Scale Clustering through Functional Embedding.- Clustering Distributed Sensor Data Streams.- A Novel Scalable and Data Efficient Feature Subset Selection Algorithm.- Robust Feature Selection Using Ensemble Feature Selection Techniques.- Effective Visualization of Information Diffusion Process over Complex Networks.- Actively Transfer Domain Knowledge.- A Unified View of Matrix Factorization Models.- Parallel Spectral Clustering.- Classification of Multi-labeled Data: A Generative Approach.- Pool-Based Agnostic Experiment Design in Linear Regression.- Distribution-Free Learning of Bayesian Network Structure.- Assessing Nonlinear Granger Causality from Multivariate Time Series.- Clustering Via Local Regression.- Decomposable Families of Itemsets.- Transferring Instances for Model-Based Reinforcement Learning.- A Simple Model for Sequences of Relational State Descriptions.- Semi-Supervised Boosting for Multi-Class Classification.- A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis.- Transferred Dimensionality Reduction.- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model.- Estimating Sales Opportunity Using Similarity-Based Methods.- Learning MDP Action Models Via Discrete Mixture Trees.- Continuous Time Bayesian Networks for Host Level Network Intrusion Detection.- Data Streaming with Affinity Propagation.- Semi-supervised Discriminant Analysis Via CCCP.- Demo Papers.- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains.- Pleiades: Subspace Clustering and Evaluation.- SEDiL: Software for Edit Distance Learning.- Monitoring Patterns through an Integrated Management and Mining Tool.- A Knowledge-Based Digital Dashboard for Higher Learning Institutions.- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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