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Author:   Walter Daelemans ,  Katharina Morik ,  Katharina Morik
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Volume:   5212
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   1.092kg
ISBN:  

9783540874805

ISBN 10:   3540874801
Pages:   698
Publication Date:   04 September 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

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