144 search results - page 9 / 29 » Combining Active Learning and Dynamic Dimensionality Reducti... |
NIPS
1996
13 years 8 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
CCECE
2006
IEEE
14 years 1 months ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the p-norm of the parameters. We discuss several implications ...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...