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» Discriminative training for full covariance models
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TASLP
2010
117views more  TASLP 2010»
13 years 2 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BIB
2011
12 years 11 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
Background: Vaccine development in the post-genomic era often begins with the in silico screening of genome information, with the most probable protective antigens being predicted...
Irini A. Doytchinova, Darren R. Flower
ACL
2008
13 years 9 months ago
Joint Word Segmentation and POS Tagging Using a Single Perceptron
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...
Yue Zhang 0004, Stephen Clark