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» Decision Making Using Probabilistic Inference Methods
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 7 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
15 years 9 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
93
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ACL
1997
15 years 3 months ago
Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation
This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learn...
Günter Neumann
PODS
2009
ACM
229views Database» more  PODS 2009»
16 years 2 months ago
Computing all skyline probabilities for uncertain data
Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
Mikhail J. Atallah, Yinian Qi
MICCAI
2010
Springer
15 years 7 days ago
Fast Random Walker with Priors Using Precomputation for Interactive Medical Image Segmentation
Abstract. Updating segmentation results in real-time based on repeated user input is a reliable way to guarantee accuracy, paramount in medical imaging applications, while making e...
Shawn Andrews, Ghassan Hamarneh, Ahmed Saad