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BIOCOMP
2007
13 years 11 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari
ICASSP
2008
IEEE
14 years 4 months ago
A comparative study of probabilistic ranking models for spoken document summarization
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
Shih-Hsiang Lin, Yi-Ting Chen, Hsin-Min Wang, Bin ...
ACL
2006
13 years 11 months ago
Models for Sentence Compression: A Comparison across Domains, Training Requirements and Evaluation Measures
Sentence compression is the task of producing a summary at the sentence level. This paper focuses on three aspects of this task which have not received detailed treatment in the l...
James Clarke, Mirella Lapata
ROCAI
2004
Springer
14 years 3 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil
ACL
2009
13 years 7 months ago
English-Chinese Bi-Directional OOV Translation based on Web Mining and Supervised Learning
In Cross-Language Information Retrieval (CLIR), Out-of-Vocabulary (OOV) detection and translation pair relevance evaluation still remain as key problems. In this paper, an English...
Yuejie Zhang, Yang Wang, Xiangyang Xue