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NIPS
2001
13 years 6 months ago
Probabilistic Abstraction Hierarchies
Eran Segal, Daphne Koller, Dirk Ormoneit
RECOMB
2002
Springer
14 years 5 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
MLDM
2005
Springer
13 years 10 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
ECAI
2006
Springer
13 years 8 months ago
Conceptual Hierarchies Matching: An Approach Based on Discovery of Implication Rules Between Concepts
Abstract. Most research works about ontology or schema matching are based on symmetric similarity measures. By transposing the association rules paradigm, we propose to use asymmet...
Jérôme David, Fabrice Guillet, R&eacu...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
13 years 11 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler