658 search results - page 3 / 132 » Arguing from Experience to Classifying Noisy Data |
PAKDD
2009
ACM
14 years 24 days ago
2009
ACM
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
ICMCS
2006
IEEE
14 years 2 days ago
2006
IEEE
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
IJCAI
1989
13 years 7 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
INTERSPEECH
2010
13 years 25 days ago
2010
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
BIBE
2007
IEEE
13 years 10 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...