648 search results - page 11 / 130 » Large Margin Classification Using the Perceptron Algorithm |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
ACL
2008
14 years 11 months ago
2008
For Chinese POS tagging, word segmentation is a preliminary step. To avoid error propagation and improve segmentation by utilizing POS information, segmentation and tagging can be...
EMNLP
2007
14 years 11 months ago
2007
We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
78
Voted
ALT
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
A commonly used representation of a visual pattern is the set of marginal probability distributions of the output of a bank of filters (Gaussian, Laplacian, Gabor etc...). This re...