15 search results - page 3 / 3 » SWeMoF: A Semantic Framework to Discover Patterns in Learnin... |
SDM
2012
SIAM
11 years 8 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
PERCOM
2007
ACM
14 years 5 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...
ICDE
2007
IEEE
14 years 7 months ago
2007
IEEE
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
MM
2004
ACM
13 years 11 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...