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...
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| Institution som forfatter: | |
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| Format: | Livre numérique |
| Sprog: | Anglais |
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Berlin [etc.] :
Springer
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Cham : Springer Nature |
| Serier: | Lecture notes in computer science. Lecture notes in artificial intelligence
2734 |
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| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine learning and data mining in pattern recognition, third international conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings, Petra Perner, Azriel Rosenfeld (eds.), Berlin, Springer, 2003, 1 vol. (XII-440 p.), Lecture notes in computer science, 3-540-40504-6 • Machine Learning and Data Mining in Pattern Recognition, Texte imprimé, 9783662198377 |
Indholdsfortegnelse:
- 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.