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2010 – 2019
- 2013
[c6]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited. ECML/PKDD (3) 2013: 65-80- [i4]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited. CoRR abs/1304.6383 (2013) - 2012
- [i3]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Role of Weight Shrinking in Large Margin Perceptron Learning. CoRR abs/1205.4698 (2012) - 2011
- [j1]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Margitron: A Generalized Perceptron With Margin. IEEE Trans. Neural Networks 22(3): 395-407 (2011) - [c5]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Perceptron with Dynamic Margin. ALT 2011: 204-218 - [i2]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Perceptron with Dynamic Margin. CoRR abs/1105.6041 (2011) - 2010
- [c4]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Margin Perceptron with Unlearning. ICML 2010: 855-862
2000 – 2009
- 2008
- [i1]Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Margitron: A Generalised Perceptron with Margin. CoRR abs/0805.2752 (2008) - 2007
- [b1]Petroula Tsampouka:
Perceptron-like large margin classifiers. University of Southampton, UK, 2007 - [c3]Petroula Tsampouka, John Shawe-Taylor
:
Approximate maximum margin algorithms with rules controlled by the number of mistakes. ICML 2007: 903-910 - 2006
- [c2]Petroula Tsampouka, John Shawe-Taylor:
Constant Rate Approximate Maximum Margin Algorithms. ECML 2006: 437-448 - 2005
- [c1]Petroula Tsampouka, John Shawe-Taylor:
Analysis of Generic Perceptron-Like Large Margin Classifiers. ECML 2005: 750-758
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