798 search results - page 53 / 160 » Perceptual Learning and Abstraction in Machine Learning |
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
ITS
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
COCO
2010
Springer
13 years 12 months ago
2010
Springer
Abstract. We prove asymptotically optimal bounds on the Gaussian noise sensitivity of degree-d polynomial threshold functions. These bounds translate into optimal bounds on the Gau...
AAAI
2006
13 years 10 months ago
2006
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
ECML
2006
Springer
14 years 12 days ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...