3076 search results - page 28 / 616 » Active Learning for Networked Data |
133
Voted
PERCOM
2003
ACM
15 years 7 months ago
2003
ACM
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
123
Voted
PKDD
2010
Springer
15 years 29 days ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
205
Voted
CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
105
Voted
CCR
2006
15 years 2 months ago
2006
After a long period when networking research seemed to be focused mainly on making the existing Internet work better, interest in "clean slate" approaches to network arc...
124
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...