Petroula Tsampouka

12 papers A* 2B 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2013 J jnl
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited
CoRR
Constantinos Panagiotakopoulos, Petroula Tsampouka
2013 — conf
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited.
ECML/PKDD (3)
Constantinos Panagiotakopoulos, Petroula Tsampouka
2012 J jnl
The Role of Weight Shrinking in Large Margin Perceptron Learning
CoRR
Constantinos Panagiotakopoulos, Petroula Tsampouka
2011 J jnl
The Margitron: A Generalized Perceptron With Margin.
IEEE Trans. Neural Networks
Constantinos Panagiotakopoulos, Petroula Tsampouka
2011 J jnl
The Perceptron with Dynamic Margin
CoRR
Constantinos Panagiotakopoulos, Petroula Tsampouka
2011 B conf
The Perceptron with Dynamic Margin.
ALT
Constantinos Panagiotakopoulos, Petroula Tsampouka
2010 A* conf
The Margin Perceptron with Unlearning.
ICML
Constantinos Panagiotakopoulos, Petroula Tsampouka
2008 J jnl
The Margitron: A Generalised Perceptron with Margin
CoRR
Constantinos Panagiotakopoulos, Petroula Tsampouka
2007 A* conf
Approximate maximum margin algorithms with rules controlled by the number of mistakes.
ICML
Petroula Tsampouka, John Shawe-Taylor
2007 — —
Perceptron-like large margin classifiers.
Petroula Tsampouka
2006 — conf
Constant Rate Approximate Maximum Margin Algorithms.
ECML
Petroula Tsampouka, John Shawe-Taylor
2005 — conf
Analysis of Generic Perceptron-Like Large Margin Classifiers.
ECML
Petroula Tsampouka, John Shawe-Taylor