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ICML
2010
IEEE
13 years 7 months ago
The Margin Perceptron with Unlearning
We introduce into the classical Perceptron algorithm with margin a mechanism of unlearning which in the course of the regular update allows for a reduction of possible contributio...
Constantinos Panagiotakopoulos, Petroula Tsampouka
EMNLP
2009
13 years 7 months ago
Perceptron Reranking for CCG Realization
This paper shows that discriminative reranking with an averaged perceptron model yields substantial improvements in realization quality with CCG. The paper confirms the utility of...
Michael White, Rajakrishnan Rajkumar
ICDAR
1999
IEEE
14 years 1 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
COLING
2008
13 years 11 months ago
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
In this paper, we describe a new reranking strategy named word lattice reranking, for the task of joint Chinese word segmentation and part-of-speech (POS) tagging. As a derivation...
Wenbin Jiang, Haitao Mi, Qun Liu
NIPS
2000
13 years 11 months ago
Regularized Winnow Methods
In theory, the Winnow multiplicative update has certain advantages over the Perceptron additive update when there are many irrelevant attributes. Recently, there has been much eff...
Tong Zhang