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pro vyhledávání: '"Cheamanunkul, Sunsern"'
The sensitivity of Adaboost to random label noise is a well-studied problem. LogitBoost, BrownBoost and RobustBoost are boosting algorithms claimed to be less sensitive to noise than AdaBoost. We present the results of experiments evaluating these al
Externí odkaz:
http://arxiv.org/abs/1409.2905
Autor:
Cheamanunkul, Sunsern, Freund, Yoav
Handwriting is a natural and versatile method for human-computer interaction, especially on small mobile devices such as smart phones. However, as handwriting varies significantly from person to person, it is difficult to design handwriting recognize
Externí odkaz:
http://arxiv.org/abs/1409.2897
Autor:
Mekavuthikul, Pattaraporn, Cheamanunkul, Sunsern, Chomchai, Pinsumon, Phuditshinnapatra, Jariya
Publikováno v:
Siriraj Medical Journal; Oct2022, Vol. 74 Issue 10, p658-665, 8p
Autor:
Cheamanunkul, Sunsern
Publikováno v:
Cheamanunkul, Sunsern. (2014). Inference of User Intent in Adaptive Input Interfaces /. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/1t97m9rw
As computers are increasingly ubiquitous, it is becoming more important to make our interaction with them as easy and as efficient as possible. As alternatives to the standard duo: keyboards and mice, we have touch screens, handwriting recognition, v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::24617341a79d198a4f7298da006340f9
http://www.escholarship.org/uc/item/1t97m9rw
http://www.escholarship.org/uc/item/1t97m9rw
Autor:
Cheamanunkul, Sunsern, Freund, Yoav
Publikováno v:
2014 13th International Conference on Machine Learning & Applications; 2014, p201-206, 6p