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131
Voted
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 8 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
QUACON
2009
Springer
15 years 10 months ago
Establishing Similarity across Multi-granular Topological-Relation Ontologies
Within the Geospatial Semantic Web, selecting a different ontology for a spatial data set will enable that data’s analysis in a different context. Analyses of multiple data sets,...
Matthew P. Dube, Max J. Egenhofer
144
Voted
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 5 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
162
Voted
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 4 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
NIPS
2004
15 years 5 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay