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» Active word learning under uncertain input conditions
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INTERSPEECH
2010
12 years 11 months ago
Active word learning under uncertain input conditions
In this paper we investigate a computational model of word learning that is cognitively plausible. The model is partly trained on incorrect form-referent pairings, modelling the i...
Maarten Versteegh, Louis ten Bosch, Lou Boves
CDC
2008
IEEE
289views Control Systems» more  CDC 2008»
13 years 11 months ago
Robust H-infinity control for uncertain time-delay TCP/AQM network system
—A robust active queue management (AQM) scheme based on H-infinty theory is presented for the problem of congestion control in TCP communication networks. In TCP/IP networks, the...
Yuanwei Jing, Hongwei Wang, Georgi M. Dimirovski, ...
ICMLA
2007
13 years 6 months ago
Learning to evaluate conditional partial plans
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Slawomir Nowaczyk, Jacek Malec
NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 6 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 6 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...