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» Nested support vector machines
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90
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ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
14 years 7 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...
92
Voted
ICBA
2004
Springer
205views Biometrics» more  ICBA 2004»
15 years 3 months ago
Combining Fingerprint and Voiceprint Biometrics for Identity Verification: an Experimental Comparison
Combining multiple biometrics may enhance the performance of personal authentication system in accuracy and reliability. In this paper, we compare 13 combination methods in the con...
Yuan Wang, Yunhong Wang, Tieniu Tan
IJCAI
2007
14 years 11 months ago
Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
Oscar Luaces, José Ramón Quevedo, Fr...
78
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IJCV
2000
86views more  IJCV 2000»
14 years 10 months ago
Statistical Learning Theory: A Primer
In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
Theodoros Evgeniou, Massimiliano Pontil, Tomaso Po...
VLDB
2002
ACM
112views Database» more  VLDB 2002»
14 years 9 months ago
Fast and Accurate Text Classification via Multiple Linear Discriminant Projections
Abstract. Support vector machines (SVMs) have shown superb performance for text classification tasks. They are accurate, robust, and quick to apply to test instances. Their only po...
Soumen Chakrabarti, Shourya Roy, Mahesh V. Soundal...