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CIKM
2008
Springer
15 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
171
Voted
BMCBI
2010
136views more  BMCBI 2010»
15 years 7 months ago
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfa
Background: Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides i...
Hanka Venselaar, Tim A. H. te Beek, Remko K. P. Ku...
187
Voted
SIGIR
2008
ACM
15 years 7 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
207
Voted
OSN
2007
185views more  OSN 2007»
15 years 6 months ago
Comparison of ILP formulations for the RWA problem
— We present a review of the various integer linear programming (ILP) formulations that have been proposed for the routing and wavelength assignment problem in WDM optical networ...
Brigitte Jaumard, Christophe Meyer, B. Thiongane
227
Voted
POPL
2011
ACM
14 years 9 months ago
Dynamic inference of static types for ruby
There have been several efforts to bring static type inference to object-oriented dynamic languages such as Ruby, Python, and Perl. In our experience, however, such type inference...
Jong-hoon (David) An, Avik Chaudhuri, Jeffrey S. F...