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INTERSPEECH
2010
14 years 4 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
WWW
2009
ACM
15 years 10 months ago
Automated construction of web accessibility models from transaction click-streams
Screen readers, the dominant assistive technology used by visually impaired people to access the Web, function by speaking out the content of the screen serially. Using screen rea...
Jalal Mahmud, Yevgen Borodin, I. V. Ramakrishnan, ...
ECMDAFA
2007
Springer
122views Hardware» more  ECMDAFA 2007»
15 years 4 months ago
Model Transformation from OWL-S to BPEL Via SiTra
Although there are a large number of academic and industrial model transformation frameworks available, allowing specification, implementation, maintenance and documentation of mod...
Behzad Bordbar, Gareth Howells, Michael Evans, Ath...
CIKM
2011
Springer
13 years 10 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
ESANN
2006
14 years 11 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...