Machine Learning and Data Mining in Pattern Recognition: 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, ProceedingsPetra Perner Springer Science & Business Media, 2007. gada 16. jūl. - 916 lappuses MLDM / ICDM Medaillie Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia Gottfried Wilhelm von Leibniz, the great mathematician and son of Leipzig, was watching over us during our event in Machine Learning and Data Mining in Pattern Recognition (MLDM 2007). He can be proud of what we have achieved in this area so far. We had a great research program this year. This was the fifth MLDM in Pattern Recognition event held in Leipzig (www.mldm.de). Today, there are many international meetings carrying the title machine learning and data mining, whose topics are text mining, knowledge discovery, and applications. This meeting from the very first event has focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the view points of machine learning and data mining. Although it was a challenging program in the late 1990s, the idea has provided new starting points in pattern recognition and has influenced other areas such as cognitive computer vision. For this edition, the Program Committee received 258 submissions from 37 countries (see Fig. 1). To handle this high number of papers was a big challenge for the reviewers. Every paper was thoroughly reviewed and all authors received a detailed report on their submitted work. |
Saturs
Users Dilemma | 1 |
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers | 2 |
Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods | 17 |
Integrating Related Data to Improve Model Performance | 32 |
An Empirical Comparison of Ideal and Empirical ROCBased Reject Rules | 47 |
Outlier Detection with Kernel Density Functions | 61 |
Generic Probability Density Function Reconstruction for Randomization in PrivacyPreserving Data Mining | 76 |
An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams | 91 |
Mining Maximal Frequent Itemsets in Data Streams Based on FPTree | 479 |
Consistent Common Itemsets Classifier | 490 |
Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques with Applications to... | 499 |
A Sequential Hybrid Forecasting System for Demand Prediction | 518 |
A Unified View of Objective Interestingness Measures | 533 |
Comparing StateoftheArt Collaborative Filtering Systems | 548 |
Reducing the Dimensionality of Vector Space Embeddings of Graphs | 563 |
A Graph Based PULearning Approach for Text Classification | 574 |
On the Combination of Locally Optimal Pairwise Classifiers | 104 |
An AgentBased Approach to the MultipleObjective Selection of Reference Vectors | 117 |
On Applying Dimension Reduction for Multilabeled Problems | 131 |
Nonlinear Feature Selection by Relevance Feature Vector Machine | 144 |
A Generalization of the FukunagaKoontz Transformation | 160 |
A Bounded Index for Cluster Validity | 174 |
Varying Density Spatial Clustering Based On a Hierarchical Tree | 188 |
Kernel MDL to Determine the Number of Clusters | 203 |
Critical Scale for Unsupervised Cluster Discovery | 218 |
Minimum Information Loss Cluster Analysis for Categorical Data | 233 |
A Clustering Algorithm Based on Generalized Stars | 248 |
Evolving Committees of Support Vector Machines | 263 |
Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines | 276 |
Data Selection Using SASH Trees for Support Vector Machines | 286 |
Dynamic DistanceBased Active Learning with SVM | 296 |
An Empirical Evaluation | 310 |
Transductive Learning from Relational Data | 324 |
A Novel Rule Ordering Approach in Classification Association Rule Mining | 339 |
Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules | 349 |
Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes | 364 |
Blog Mining for the Fortune 500 | 379 |
A LinkBased Rank of Postings in Newsgroup | 392 |
A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection | 404 |
Long Tail Attributes of Knowledge Worker Intranet Interactions | 419 |
A CaseBased Approach to Anomaly Intrusion Detection | 434 |
Sensing Attacks in Computers Networks with Hidden Markov Models | 449 |
Monitoring Frequent Items over Distributed Data Streams | 464 |
Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index | 585 |
A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data | 601 |
A New Combined Fractal Scale Descriptor for Gait Sequence | 616 |
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA | 628 |
A FilterRefinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram | 643 |
FastManeuvering Target Seeking Based on DoubleAction QLearning | 653 |
Mining Frequent Trajectories of Moving Objects for Location Prediction | 667 |
Categorizing Evolved CoreWarWarriors Using EM and Attribute Evaluation | 681 |
Restricted Sequential Floating Search Applied to Object Selection | 694 |
Color Reduction Using the Combination of the Kohonen SelfOrganized Feature Map and the GustafsonKessel Fuzzy Algorithm | 703 |
A Hybrid Algorithm Based on Evolution Strategies and InstanceBased Learning Used in TwoDimensional Fitting of Brightness Profilesin Galaxy Ima... | 716 |
Gait Recognition by Applying Multiple Projections and Kernel PCA | 727 |
A Case Study in Evaluation of Gene Finders | 742 |
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds | 756 |
One Lead ECG Based Personal Identification with Feature Subspace Ensembles | 770 |
Classification of Breast Masses in Mammogram Images Using Ripleys K Function and Support Vector Machine | 784 |
Selection of Experts for the Design of Multiple Biometric Systems | 795 |
Multiagent System Approach to React to Sudden Environmental Changes | 810 |
Equivalence Learning in Protein Classification | 824 |
Statistical Identification of Key Phrases for Text Classification | 838 |
Probabilistic Model for Structured Document Mapping | 854 |
Application of Fractal Theory for OnLine and OffLine Farsi Digit Recognition | 868 |
Hybrid Learning of Ontology Classes | 883 |
Discovering Relations Among Entities from XML Documents | 899 |
| 911 | |
Citi izdevumi - Skatīt visu
Machine Learning and Data Mining in Pattern Recognition: 5th International ... Petra Perner Ierobežota priekšskatīšana - 2007 |
Machine Learning and Data Mining in Pattern Recognition: 5th International ... Petra Perner Ierobežota priekšskatīšana - 2007 |
Bieži izmantoti vārdi un frāzes
accuracy agent algorithm analysis applied approach average Bayes Bayesian Bayesian network binary classification collaborative filtering combination Computer corresponding Data Mining data streams database dataset decision boundary defined detection dimensionality dimensionality reduction distance distribution documents error estimate evaluation example experiments extracted feature selection feature space Figure filtering fractal frequent function gait graph Heidelberg histogram IEEE input Isomap itemsets iteration kernel kernel PCA label latent class model linear LNAI Machine Learning Markov blanket matching matrix measure method MLDM Neural Networks node number of clusters obtained optimization outliers output palmprint parameters Pattern Recognition performance points prediction problem proposed query random reduced ROC curve sample scale space score Section sequence similarity solution Springer statistical strategy structure subspace support vector machines Table target techniques threshold training set tree validation values variables version space