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JAIR
2006
110views more  JAIR 2006»
13 years 8 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
ICASSP
2011
IEEE
13 years 6 days ago
A sampling-based environment population projection approach for rapid acoustic model adaptation
We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This a...
Yu Tsao, Shigeki Matsuda, Shinsuke Sakai, Ryosuke ...
EMNLP
2006
13 years 10 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
WCE
2007
13 years 9 months ago
An Adaptive Cross-EntropyTuning of the PID Control for Robot Manipulators
— This paper proposes a population based adaptive tuning for dynamic position control of robot manipulators. The dynamic behavior of a robot manipulator is highly nonlinear, and ...
Mehmet Bodur
NN
2007
Springer
13 years 8 months ago
Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres
An environmentally adaptive system for prediction of acoustic transmission loss (TL) in the atmosphere is developed in this paper. This system uses several back propagation neural...
Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael ...