627 search results - page 57 / 126 » Structural Learning of Activities from Sparse Datasets |
AMR
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that ad...
ML
2010
ACM
13 years 7 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
DIS
2009
Springer
14 years 3 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
BMCBI
2008
13 years 9 months ago
2008
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
ICA
2012
Springer
12 years 4 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...