| Robust Classification Through the Forward Search | p. 3 |
| Fitting and Smoothing Properties of Length Constrained Smoothers Applied to Time Series | p. 13 |
| Interaction Terms in Non-linear PLS via Additive Spline Transformation | p. 22 |
| Discriminant Analysis With Categorical Variables: A Biplot Based Approach | p. 30 |
| Efficient Density Clustering Using Basin Spanning Trees | p. 39 |
| Some Issues on Clustering of Functional Data | p. 49 |
| Scalable Clustering of High Dimensional Data | p. 57 |
| Methods to Combine Classification Trees | p. 65 |
| Core-Based Clustering Techniques | p. 74 |
| Combing Regression Trees and Radial Basis Function Networks in Longitudinal Data Modelling | p. 83 |
| Implementing a new Method for Discriminant Analysis When Group Covariance Matrices are Nearly Singular | p. 92 |
| Two Approaches for Discriminant Partial Least Squares | p. 100 |
| Improving the Classification Performance of a Discriminant Rule by Dealing With Data Cases Having a Substantial Influence on Variable Selection | p. 109 |
| Classification and Clustering of Vocal Performances | p. 118 |
| Cluster- and Discriminant Analysis With Both Metric and Categorial Data | p. 127 |
| Multivariate Mixture Models Estimation: A Genetic Algorithm Approach | p. 133 |
| Two-Way Clustering for Contingency Tables: Maximizing a Dependence Measure | p. 143 |
| Localised Mixtures of Experts for Mixture of Regressions | p. 155 |
| A Bayesian Approach for the Estimation of the Covariance Structure of Separable Spatio-Temporal Stochastic Processes | p. 165 |
| An Algorithm for the HICLAS-R Model | p. 173 |
| Some Applications of Time-Varying Coefficient Models to Count Data | p. 182 |
| On Ziggurats and Dendrograms | p. 191 |
| A Dimensionality Reduction Method Based on Simple Linear Regressions | p. 201 |
| Evolutionary Strategies to Avoid Local Mimima in Multidimensional Scaling | p. 209 |
| Principal Component Analysis of Boolean Symbolic Objects | p. 218 |
| Multivariate Analysis for Variables of Arbitrary Information Level | p. 226 |
| How Wrong Models Become Useful - and Correct Models Become Dangerous | p. 235 |
| Visualizing Symbolic Data by Closed Shapes | p. 244 |
| LBGU-EM Algorithm for Mixture Density Estimation | p. 252 |
| Change-Points in Bernoulli Trials With Dependence | p. 261 |
| Two-Mode Clustering Methods: Compare and Contrast | p. 270 |
| Sensitivity of Graphical Modeling Against Contamination | p. 279 |
| New Graphical Symbolic Objects Representations in Parallel Coordinates | p. 288 |
| A Hierarchical Classes Approach to Discriminant Analysis | p. 296 |
| Prediction Optimal Data Analysis by Means of Stochastic Search | p. 305 |
| System Error Variance Tuning in State-Space Models | p. 313 |
| Corrado Gini and Multivariate Statistical Analysis: The (so far) Missing Link | p. 321 |
| On Correspondence Analysis of Incomplete Orderings | p. 329 |
| Some Statistical Issues in Microarray Data Analysis | p. 337 |
| Background of the Variability in Past Human Populations: Selected Methodological Issues | p. 348 |
| Spatial Prediction With Space-Time Models | p. 358 |
| Neural Budget Networks of Sensorial Data | p. 369 |
| Evolutionary Model Selection in Bayesian Neural Networks | p. 378 |
| Extreme Datamining | p. 387 |
| Information Filtering Based on Model Symbolic Objects | p. 395 |
| Analyzing Learner Behavior and Performance | p. 405 |
| An Integration Strategy for Distributed Recommender Services in Legacy Library Systems | p. 412 |
| Comparing Simple Association-Rules and Repeat-Buying Based Recommender Systems in a B2B Environment | p. 421 |
| Students' Preferences Related to Web Based E-Learning: Results of a Survey | p. 430 |
| MURBANDY: The (so far) Missing Link: User-Friendly Retrieval and Visaulization of Geographic Information | p. 438 |
| ASCAID: Using an Asymmetric Correlation Measure for Automatic Interaction Detection | p. 447 |
| Discriminative Clustering: Vector Quantization in Learning Metrics | p. 456 |
| Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquardt | p. 464 |
| Syntagmatic and Paradigmatic Associations in Information Retrieval | p. 473 |
| Finding the Most Useful Clusters: Clustering and the Usefulness Metric | p. 483 |
| Internet Thesaurus - Extracting Relevant Terms from WWW Pages using Weighted Threshold Function over a Cross-Reference Matrix | p. 492 |
| Reflections on a Supervised Approach to Independent Component Analysis | p. 501 |
| Simulated Annealing and Tabu Search for Optimization of Neural Networks | p. 510 |
| Decentralizing Risk Management in the Case of Quadratic Hedging | p. 521 |
| Multimedia Stimulus Presentation Methods for Conjoint Studies in Marketing Research | p. 530 |
| Forecasting the Customer Development of a Publishing Company with Decision Trees | p. 538 |
| Estimation of Default Probabilities in a Single-Factor Model | p. 546 |
| Simultaneous Confidence Intervals for Default Probabilities | p. 555 |
| Model-Based Clustering With Hidden Markov Models and its Application to Financial Time-Series Data | p. 561 |
| Classification of Multivariate Data With Missing Values Using Expected Discriminant Scores | p. 570 |
| Assessment of the Polish Manufacturing Sector Attractiveness: An End-User Approach | p. 578 |
| Developing a Layout of a Supermarket Through Asymmetric Multidimensional Scaling and Cluster Analysis of Purchase Data | p. 587 |
| Market Segmentation Method From the Bayesian Viewpoint | p. 595 |
| Support Vector Machines for Credit Scoring: Comparing to and Combining With Some Traditional Classification Methods | p. 604 |
| Classification of Amino-Acid Sequences Using State-Space Models | p. 615 |
| Quantitative Study of Images in Archaeology: I. Textual Coding | p. 624 |
| Quantitative Study of Images in Archaeology: II. Symbolic Coding | p. 633 |
| Power Functions in Multiple Sampling Plans Using DNA Computation | p. 643 |
| Methodological Issues in the Baffling Relationship Between Hepatitis C Virus and Non Hodgkin's Lymphomas | p. 652 |
| Class Discovery in Gene Expression Data: Characterizing Splits by Support Vector Machines | p. 662 |
| Efficient Clustering Methods for Tumor Classification With Microarrays | p. 670 |
| A Method to Classify Microarray Data | p. 680 |
| Index | p. 689 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
