Machine Learning and Data Mining in Pattern Recognition Third International Conference, MLDM 2003 Leipzig, Germany, July 5–7, 2003 Proceedings /
TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought t...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2003.
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| Σειρά: | Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
2734 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited Talkes
- Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers
- Graph-Based Tools for Data Mining and Machine Learning
- Decision Trees
- Simplification Methods for Model Trees with Regression and Splitting Nodes
- Learning Multi-label Alternating Decision Trees from Texts and Data
- Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise
- On the Size of a Classification Tree
- Clustering and Its Applications
- A Comparative Analysis of Clustering Algorithms Applied to Load Profiling
- Similarity-Based Clustering of Sequences Using Hidden Markov Models
- Support Vector Machines
- A Fast Parallel Optimization for Training Support Vector Machine
- A ROC-Based Reject Rule for Support Vector Machines
- Case-Based Reasoning
- Remembering Similitude Terms in CBR
- Authoring Cases from Free-Text Maintenance Data
- Classification, Retrieval, and Feature Learning
- Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation
- Simple Mimetic Classifiers
- Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification
- Estimating a Quality of Decision Function by Empirical Risk
- Efficient Locally Linear Embeddings of Imperfect Manifolds
- Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval
- A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set
- Coevolutionary Feature Learning for Object Recognition
- Discovery of Frequently or Sequential Patterns
- Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints
- Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle
- Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns
- Visualizing Sequences of Texts Using Collocational Networks
- Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI
- Bayesian Models and Methods
- GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions
- Using Test Plans for Bayesian Modeling
- Using Bayesian Networks to Analyze Medical Data
- A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization
- Neural Self-Organization Using Graphs
- Association Rules Mining
- Integrating Fuzziness with OLAP Association Rules Mining
- Discovering Association Patterns Based on Mutual Information
- Applications
- Connectionist Probability Estimators in HMM Arabic Speech Recognition Using Fuzzy Logic
- Shape Recovery from an Unorganized Image Sequence
- A Learning Autonomous Driver System on the Basis of Image Classification and Evolutional Learning
- Detecting the Boundary Curve of Planar Random Point Set
- A Machine Learning Model for Information Retrieval with Structured Documents.
