543 search results - page 14 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
EMNLP
2010
13 years 5 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
JMLR
2012
11 years 10 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
NIPS
2001
13 years 9 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
ACL
2006
13 years 9 months ago
2006
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...