Sciweavers

54 search results - page 1 / 11
» Regularization by Adding Redundant Features
Sort
View
SSPR
1998
Springer
13 years 8 months ago
Regularization by Adding Redundant Features
The Pseudo Fisher Linear Discriminant (PFLD) based on a pseudo-inverse technique shows a peaking behaviour of the generalization error for training sample sizes that are about the...
Marina Skurichina, Robert P. W. Duin
EMNLP
2008
13 years 6 months ago
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
In this paper, we present a novel method based on CRFs in response to the two special characteristics of "contextual dependency" and "label redundancy" in sent...
Jun Zhao, Kang Liu, Gen Wang
CSDA
2007
128views more  CSDA 2007»
13 years 4 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
TC
2002
13 years 4 months ago
Finite Field Multiplier Using Redundant Representation
This article presents simple and highly regular architectures for finite field multipliers using a redundant representation. The basic idea is to embed a finite field into a cyclo...
Huapeng Wu, M. Anwarul Hasan, Ian F. Blake, Shuhon...
ACL
2006
13 years 6 months ago
Modelling Lexical Redundancy for Machine Translation
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
David Talbot, Miles Osborne