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IJCV
2000
86views more  IJCV 2000»
13 years 9 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...
ISBI
2004
IEEE
14 years 10 months ago
Qualitative Asymmetry Measure for Melanoma Detection
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. ...
Michele d'Amico, Massimo Ferri, Ignazio Stanganell...
ICDAR
2003
IEEE
14 years 2 months ago
Recognition of On-line Handwritten Mathematical Formulas in the E-Chalk System
In this article, we present a system for the recognition of on-line handwritten mathematical formulas which is used in the electronic chalkboard (E-chalk), a multimedia system for...
Ernesto Tapia, Raúl Rojas
IJCAI
2007
13 years 10 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...
VLDB
2002
ACM
112views Database» more  VLDB 2002»
13 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...