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» Input Modeling Using Quantile Statistical Methods
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121
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ICMLA
2009
15 years 16 days ago
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
148
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 2 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
105
Voted
EMNLP
2007
15 years 4 months ago
Large Language Models in Machine Translation
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
101
Voted
NAACL
2007
15 years 4 months ago
Reversible Sound-to-Letter/Letter-to-Sound Modeling Based on Syllable Structure
This paper describes a new grapheme-tophoneme framework, based on a combination of formal linguistic and statistical methods. A context-free grammar is used to parse words into th...
Stephanie Seneff
92
Voted
COLING
2000
15 years 4 months ago
An English to Korean Transliteration Model of Extended Markov Window
Automatic transliteration problem is to transcribe foreign words in one's own alphabet. Machine generated transliteration can be useful in various applications such as indexi...
Sung Young Jung, SungLim Hong, Eunok Paek