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NAACL
2004
13 years 11 months ago
Ensemble-based Active Learning for Parse Selection
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
Miles Osborne, Jason Baldridge
AAAI
2000
13 years 11 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
DAWAK
2010
Springer
13 years 11 months ago
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
Taylor Phillips, Chris GauthierDickey, Ramki Thuri...
CORR
2007
Springer
72views Education» more  CORR 2007»
13 years 10 months ago
How much feedback is required in MIMO Broadcast Channels?
— In this paper, a downlink communication system, in which a Base Station (BS) equipped with M antennas communicates with N users each equipped with K receive antennas is conside...
Alireza Bayesteh, Amir K. Khandani
JCS
2006
81views more  JCS 2006»
13 years 10 months ago
Effective worm detection for various scan techniques
In recent years, the threats and damages caused by active worms have become more and more serious. In order to reduce the loss caused by fastspreading active worms, an effective de...
Jianhong Xia, Sarma Vangala, Jiang Wu, Lixin Gao, ...