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BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
14 years 1 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
ACL
2008
13 years 9 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
ECCV
2006
Springer
14 years 9 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
WCRE
2000
IEEE
13 years 12 months ago
A Structured Demonstration of Program Comprehension Tools
This paper describes a structured tool demonstration, a hybrid evaluation technique that combines elements from experiments, case studies, and technology demonstrations. Developer...
Susan Elliott Sim, Margaret-Anne D. Storey
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims