MCS
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...
MCS
2010
Springer
14 years 2 months ago
2010
Springer
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
MCS
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Although widely used to reduce error rates of difficult pattern recognition problems, multiple classifier systems are not in widespread use in off-line signature verifica...
MCS
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
MCS
2010
Springer
14 years 5 months ago
2010
Springer
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
MCS
2010
Springer
14 years 5 months ago
2010
Springer
Abstract. The computational genome-wide annotation of gene functions requires the prediction of hierarchically structured functional classes and can be formalized as a multiclass, ...
MCS
2010
Springer
14 years 5 months ago
2010
Springer
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
MCS
2010
Springer
14 years 7 months ago
2010
Springer
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
MCS
2010
Springer
14 years 7 months ago
2010
Springer
Although diversity in classifier ensembles is desirable, its relationship with the ensemble accuracy is not straightforward. Here we derive a decomposition of the majority vote er...
MCS
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. Understanding ensemble diversity is one of the most important fundamental issues in ensemble learning. Inspired by a recent work trying to explain ensemble diversity from...