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MCS
2010
Springer
14 years 3 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...
KR
2010
Springer
14 years 1 months ago
2010
Springer
We present a distributed algorithm for computing equilibria of heterogeneous nonmonotonic multi-context systems (MCS). The algorithm can be parametrized to compute only partial eq...
MCS
2010
Springer
14 years 3 months ago
2010
Springer
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
MCS
2010
Springer
14 years 3 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 1 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...