Subrule Analysis and the Frequency-Confidence Diagram

Juergen Paetz

Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data

Emma Peeling, Allan Tucker

Transductive Reliability Estimation for Kernel Based Classifiers

Dimitris Tzikas, Matjaz Kukar, Aristidis Likas

A Support Vector Machine Approach to Dutch Part- of-Speech Tagging

Mannes Poel, Luite Stegeman, Rieks Akker

Recurrent Predictive Models for Sequence Segmentation

Saara Hyvönen, Aristides Gionis, Heikki Mannila

Relational Algebra for Ranked Tables with Similarities: Properties and Implementation

Radim Belohlavek, Stanislav Opichal, Vilem Vychodil

Sequence Classification using Statistical Pattern Recognition

Jose Antonio Iglesias, Agapito Ledezma, Araceli Sanchis

Incremental Learning with Multiple Classifier Systems using Correction Filters for Classification

José del Campo-Ávila, Gonzalo Ramos-Jiménez, Rafael Morales-Bueno

Tree Augmented Naive Bayes for Regression using Mixtures of Truncated Exponentials. Application to Higher Education Management

Antonio Fernandez, Maria Morales, Antonio Salmeron

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions

Jaakko Hollmén, Jarkko Tikka

Visualizing Sets of Partial Rankings

Antti Ukkonen

Noise Filtering and Microarray Image Reconstruction via Chained Fouriers

Karl Fraser, Yongmin Li, Zidong Wang, Paul Kellam, Xiaohui Liu

Fuzzy Logic based Gait Classification for Hemiplegic Patients

Ahmet Yardimci

Parameter Learning for Bayesian Networks with Strict Qualitative Influences

Ad Feelders, Robert Straalen

Combining Bagging and Random Subspaces to Create Better Ensembles

Panče Panov , Sašo Džeroski

Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering

Krzysztof Ciesielski, Mieczyslaw Klopotek

Denclue 2.0: Fast Clustering based on Kernel Density Estimation

Alexander Hinneburg, Hans-Henning Gabriel

Multiplicative Updates for L1-Regularized Linear and Logistic Regression

Fei Sha, Yonghahk Park, Lawrence Saul

Landscape Multidimensional Scaling

Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy

Motif Discovery using Multi-Objective Genetic Algorithm in Biosequences

Mehmet Kaya

Soft Topographic Map for Clustering and Classification of Bacteria

Massimo La Rosa, Giuseppe Di Fatta, Salvatore Gaglio, Giovanni M. Giammanco, Riccardo Rizzo, Alfonso M. Urso

Learning to align: a statistical approach

Elisa Ricci, Tijl Bie, Nello Cristianini

Traffic Sign Recognition Using Discriminative Local Features

Andrzej Ruta, Yongmin Li, Xiaohui Liu

Visualising the Cluster Structure of Data Streams

Dimitris K. Tasoulis, Gordon Ross, Niall M. Adams

Does SVM really scale up to large bag of words feature spaces?

Fabrice Colas, Pavel Brazdil, Pavel Paclik, Joost Kok

A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables

Jean-Philippe Pellet, André Elisseeff

Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression

Ole Edsberg, Øystein Nytrø, Thomas Røst

A Partially Supervised Metric Multidimensional Scaling Algorithm for Textual Data Visualization

Ángela Blanco, Manuel Martín-Merino

A New Way to Aggregate Preferences: Application to Eurovision Song Contests

Jeremy Besson, Celine Robardet

Relational Topographic Maps

Alexander Hasenfuss, Barbara Hammer

Conditional Classification Trees using Instrumental Variables

Valerio Tutore, Roberta Siciliano, Massimo Aria

Robust Tree-based Incremental Imputation Method for Data Fusion

Antonio D'Ambrosio, Massimo Aria, Roberta Siciliano

Two bagging algorithms with coupled learners to encourage diversity

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga