254 search results - page 35 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
NEUROSCIENCE
2001
Springer
14 years 27 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
BMCBI
2010
13 years 8 months ago
2010
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
TNN
2008
13 years 8 months ago
2008
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
PAMI
2010
13 years 6 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
PERCOM
2007
ACM
14 years 8 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...