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» Focused named entity recognition using machine learning
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MCS
2007
Springer
15 years 5 months ago
Group-Induced Vector Spaces
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Du...
ICML
2005
IEEE
16 years 14 days ago
Large scale genomic sequence SVM classifiers
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Bernhard Schölkopf, Gunnar Rätsch, S&oum...
BMCBI
2007
93views more  BMCBI 2007»
14 years 11 months ago
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, W...
CHI
2009
ACM
16 years 7 days ago
Using language tests and emotional expressions to determine the learnability of artificial languages
The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goa...
Omar Mubin, Suleman Shahid, Christoph Bartneck, Em...
101
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ACL
2009
14 years 9 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...