134 search results - page 6 / 27 » Discriminant Parallel Perceptrons |
ECML
2005
Springer
15 years 4 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
94
Voted
HPCA
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
104
Voted
EMNLP
2007
15 years 17 days ago
2007
We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
ICASSP
2009
IEEE
15 years 5 months ago
2009
IEEE
We develop a novel extension to the Ratio Semi-definite Classifier, a discriminative model formulated as a ratio of semi-definite polynomials. By adding a hidden layer to the m...
71
Voted
ICML
2003
IEEE
15 years 12 months ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...