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» Convex Methods for Transduction
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JMLR
2006
124views more  JMLR 2006»
13 years 5 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
EMNLP
2008
13 years 7 months ago
Latent-Variable Modeling of String Transductions with Finite-State Methods
String-to-string transduction is a central problem in computational linguistics and natural language processing. It occurs in tasks as diverse as name transliteration, spelling co...
Markus Dreyer, Jason Smith, Jason Eisner
ICONIP
2004
13 years 7 months ago
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization
This paper introduces a novel RBF model
Qun Song, Nikola K. Kasabov
ICASSP
2010
IEEE
13 years 6 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
JCIT
2010
190views more  JCIT 2010»
13 years 16 days ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li