MCS
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
MCS
2009
Springer
13 years 9 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
MCS
2009
Springer
13 years 9 months ago
2009
Springer
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
MCS
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. One of the most widely applied techniques to deal with multiclass categorization problems is the pairwise voting procedure. Recently, this classical approach has been emb...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We propose AdaBoost.BHC, a novel multi-class boosting algorithm. AdaBoost.BHC solves a C class problem by using C − 1 binary classifiers defined by a hierarchy that i...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
The classification of hyperspectral imagery, using multiple classifier systems is discussed and an SVM-based ensemble is introduced. The data set is separated into separate featu...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
MCS
2009
Springer
13 years 11 months ago
2009
Springer
Weighted averaging of classifier outputs is used in many MCSs, yet is still not well understood. Several empirical studies have investigated the effect that non-negativity and su...