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» Annotation Framework Validation Using Domain Models
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102
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ICML
2007
IEEE
16 years 3 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
132
Voted
GI
2005
Springer
15 years 8 months ago
A Normative Language Approach to the Application of Petri Nets for Clinical Workflows
: This contribution discusses the application of Petri nets for modeling workflow in healthcare based on a normative language approach. After a brief inon, a framework of different...
Kamyar Sarshar, Peter Loos
AIME
2003
Springer
15 years 7 months ago
Attribute Interactions in Medical Data Analysis
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
IS
2008
15 years 2 months ago
Joining the results of heterogeneous search engines
In recent years, while search engines have become more and more powerful, several specialized search engines have been developed for different domains (e.g. library services, serv...
Daniele Braga, Alessandro Campi, Stefano Ceri, Ale...
ICASSP
2010
IEEE
15 years 2 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky