Results 301 to 310 of about 937,595 (329)
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2009
Support Vector Machines -- SVMs -- are learning machines, originally designed for bi-classification problems, implementing the well-known Structural Risk Minimization (SRM) inductive principle to obtain good generalization on a limited number of learning patterns (Vapnik, 1998).
Cecilio Angulo, Luis Gonzalez-Abril
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Support Vector Machines -- SVMs -- are learning machines, originally designed for bi-classification problems, implementing the well-known Structural Risk Minimization (SRM) inductive principle to obtain good generalization on a limited number of learning patterns (Vapnik, 1998).
Cecilio Angulo, Luis Gonzalez-Abril
openaire +1 more source
2001
Support vector machines are based on the theoretical learning theory developed by Vapnik [12], [17, pp. 92-129], [48], who defies the conventional belief that the optimal classification system can be developed using the optimally reduced features. In support vector machines, an n-class problem is converted into n two-class problems in which one class ...
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Support vector machines are based on the theoretical learning theory developed by Vapnik [12], [17, pp. 92-129], [48], who defies the conventional belief that the optimal classification system can be developed using the optimally reduced features. In support vector machines, an n-class problem is converted into n two-class problems in which one class ...
openaire +2 more sources
2002
This chapter gives a short introduction to support vector machines, the basic learning method used, extended, and analyzed for text classification throughout this work. Support vector machines [Cortes and Vapnik, 1995][Vapnik, 1998] were developed by Vapnik et al.
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This chapter gives a short introduction to support vector machines, the basic learning method used, extended, and analyzed for text classification throughout this work. Support vector machines [Cortes and Vapnik, 1995][Vapnik, 1998] were developed by Vapnik et al.
openaire +2 more sources
Navigating financial toxicity in patients with cancer: A multidisciplinary management approach
Ca-A Cancer Journal for Clinicians, 2022Grace L Smith +2 more
exaly
Decision Making in Oncology: A Review of Patient Decision Aids to Support Patient Participation
Ca-A Cancer Journal for Clinicians, 2008Dawn Stacey, Carol Bennett
exaly