48 search results - page 6 / 10 » Learning a complex metabolomic dataset using random forests ... |
IJBRA
2010
13 years 5 months ago
2010
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
COLT
2003
Springer
14 years 1 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
CIDM
2007
IEEE
14 years 16 days ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...