595 search results - page 11 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
ICMCS
2007
IEEE
14 years 1 months ago
2007
IEEE
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
ISM
2006
IEEE
14 years 1 months ago
2006
IEEE
1 In this paper a data driven analysis of FelderSilverman Index of Learning Styles (ILS) is given. Results, obtained by Multiple Correspondence Analysis and cross-validated by cor...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...