Machine Learning and Data Mining in Pattern Recognition 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005. Proceedings /
We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and kno...
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
|
| Series: | Lecture Notes in Computer Science,
3587 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Classification and Model Estimation
- On ECOC as Binary Ensemble Classifiers
- Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis
- Parameter Inference of Cost-Sensitive Boosting Algorithms
- Finite Mixture Models with Negative Components
- MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection
- Principles of Multi-kernel Data Mining
- Neural Methods
- Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks
- Determining Regularization Parameters for Derivative Free Neural Learning
- A Comprehensible SOM-Based Scoring System
- Subspace Methods
- The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets
- SSC: Statistical Subspace Clustering
- Understanding Patterns with Different Subspace Classification
- Clustering: Basics
- Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
- Linear Manifold Clustering
- Universal Clustering with Regularization in Probabilistic Space
- Acquisition of Concept Descriptions by Conceptual Clustering
- Applications of Clustering
- Clustering Large Dynamic Datasets Using Exemplar Points
- Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files
- Alarm Clustering for Intrusion Detection Systems in Computer Networks
- Clustering Document Images Using Graph Summaries
- Feature Grouping, Discretization, Selection and Transformation
- Feature Selection Method Using Preferences Aggregation
- Ranked Modelling with Feature Selection Based on the CPL Criterion Functions
- A Grouping Method for Categorical Attributes Having Very Large Number of Values
- Unsupervised Learning of Visual Feature Hierarchies
- Multivariate Discretization by Recursive Supervised Bipartition of Graph
- CorePhrase: Keyphrase Extraction for Document Clustering
- A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications
- Applications in Medicine
- Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule
- Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures
- Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network
- Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM
- Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration
- Prediction of Secondary Protein Structure Content from Primary Sequence Alone – A Feature Selection Based Approach
- Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding
- Time Series and Sequential Pattern Mining
- Embedding Time Series Data for Classification
- Analysis of Time Series of Graphs: Prediction of Node Presence by Means of Decision Tree Learning
- Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity
- Mining Expressive Temporal Associations from Complex Data
- Statistical Supports for Frequent Itemsets on Data Streams
- Mining Images in Computer Vision
- Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning
- Cost Integration in Multi-step Viewpoint Selection for Object Recognition
- Support Vector Machine Experiments for Road Recognition in High Resolution Images
- An Automatic Face Recognition System in the Near Infrared Spectrum
- Mining Images and Texture
- Hierarchical Partitions for Content Image Retrieval from Large-Scale Database
- Optimising the Choice of Colours of an Image Database for Dichromats
- An Approach to Mining Picture Objects Based on Textual Cues
- Mining Motion from Sequence
- Activity and Motion Detection Based on Measuring Texture Change
- A New Approach to Human Motion Sequence Recognition with Application to Diving Actions
- Dominant Plane Detection Using Optical Flow and Independent Component Analysis
- Speech Analysis
- Neural Expert Model Applied to Phonemes Recognition
- An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation
- Aspects of Data Mining
- Signature-Based Approach for Intrusion Detection
- Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations
- An Integrated Approach for Mining Meta-rules
- Data Mining on Crash Simulation Data
- Text Mining
- Pattern Mining Across Domain-Specific Text Collections
- Text Classification Using Small Number of Features
- Low-Level Cursive Word Representation Based on Geometric Decomposition
- Special Track: Industrial Applications of Data Mining
- Supervised Evaluation of Dataset Partitions: Advantages and Practice
- Inference on Distributed Data Clustering
- A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases
- Mixture Random Effect Model Based Meta-analysis for Medical Data Mining
- Semantic Analysis of Association Rules via Item Response Theory
- Temporal Approach to Association Rule Mining Using T-Tree and P-Tree
- Aquaculture Feature Extraction from Satellite Image Using Independent Component Analysis
- Modeling the Organoleptic Properties of Matured Wine Distillates
- Bagging Random Trees for Estimation of Tissue Softness
- Concept Mining for Indexing Medical Literature.
