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ICML
1997
IEEE
14 years 8 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
11 years 10 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
13 years 5 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
NLDB
2010
Springer
13 years 6 months ago
Extracting Meronymy Relationships from Domain-Specific, Textual Corporate Databases
Abstract. Various techniques for learning meronymy relationships from opendomain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate d...
Ashwin Ittoo, Gosse Bouma, Laura Maruster, Hans Wo...
WETICE
2007
IEEE
14 years 2 months ago
Data-Driven Design of Engineering Processes with COREPROModeler
Enterprises increasingly demand IT support for the coordination of their engineering processes, which often consist of hundreds up to thousands of sub-processes. From a technical ...
Dominic Müller, Manfred Reichert, Joachim Her...