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ECSQARU
2001
Springer
16 years 3 days ago
An Empirical Investigation of the K2 Metric
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
Christian Borgelt, Rudolf Kruse
ERCIMDL
2001
Springer
122views Education» more  ERCIMDL 2001»
16 years 3 days ago
Fusion Approaches for Mappings between Heterogeneous Ontologies
Ordering principles of digital libraries expressed in ontologies may be highly heterogeneous even within a domain and especially over different cultures. Automatic methods for mapp...
Thomas Mandl, Christa Womser-Hacker
ICANN
2001
Springer
16 years 2 days ago
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ic...
ICANN
2001
Springer
16 years 2 days ago
Sparse Kernel Regressors
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
Volker Roth
MCS
2001
Springer
16 years 1 days ago
On Combining Dissimilarity Representations
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Elzbieta Pekalska, Robert P. W. Duin