784 search results - page 87 / 157 » Personalizing access to learning networks |
105
click to vote
STOC
2005
ACM
16 years 6 days ago
2005
ACM
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
108
click to vote
GECCO
2010
Springer
15 years 4 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
110
click to vote
SCANGIS
2003
15 years 1 months ago
2003
Advances in Internet and network technology and the rapidly growing number of mobile personal devices result in the fast growth of Mobile E-Commerce, M-Commerce. In this paper we v...
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...