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ICML
2006
IEEE
14 years 9 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
IJCAI
2007
13 years 9 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
WSC
2000
13 years 9 months ago
Teaching simulation using case studies
We have developed and implemented a case-based approach for introducing discrete event simulation to undergraduate and graduate manufacturing engineering students. Students learn ...
Charles R. Standridge
ICASSP
2008
IEEE
14 years 2 months ago
Effective error prediction using decision tree for ASR grammar network in call system
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it st...
Hongcui Wang, Tatsuya Kawahara
ECTEL
2006
Springer
13 years 11 months ago
Towards Community-Driven Development of Educational Materials: The Edukalibre Approach
Abstract. The libre software development model has shown how combining collective intelligence can lead to revolutionary methods that underpin major software advancements. This pap...
Jesús M. González-Barahona, Vania Di...