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» Learning Classifiers from Semantically Heterogeneous Data
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KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 10 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
IJCNLP
2005
Springer
14 years 3 months ago
Tense Tagging for Verbs in Cross-Lingual Context: A Case Study
The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number...
Yang Ye, Zhu Zhang
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 3 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
ESWA
2008
223views more  ESWA 2008»
13 years 9 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
ESWS
2010
Springer
13 years 8 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann