72 search results - page 7 / 15 » Paraphrase Recognition Using Machine Learning to Combine Sim... |
BIBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
CONEXT
2006
ACM
14 years 1 months ago
2006
ACM
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
ICEIS
2010
IEEE
13 years 5 months ago
2010
IEEE
Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridg...