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» On the monotonization of the training set
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ACL
2006
15 years 2 months ago
Reranking and Self-Training for Parser Adaptation
Statistical parsers trained and tested on the Penn Wall Street Journal (WSJ) treebank have shown vast improvements over the last 10 years. Much of this improvement, however, is ba...
David McClosky, Eugene Charniak, Mark Johnson
OOPSLA
2010
Springer
14 years 11 months ago
Teaching and training developer-testing techniques and tool support
Developer testing is a type of testing where developers test their code as they write it, as opposed to testing done by a separate quality assurance organization. Developer testin...
Tao Xie, Jonathan de Halleux, Nikolai Tillmann, Wo...
89
Voted
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
15 years 7 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 7 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
IJCAI
1989
15 years 1 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis