603 search results - page 88 / 121 » A theory of learning from different domains |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
ICMLA
2008
14 years 11 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
TEI
2010
ACM
15 years 4 months ago
2010
ACM
This paper introduces a tool known as the Haptic Drum Kit, which employs four computer-controlled vibrotactile devices, one attached to each wrist and ankle. In the applications d...
SOCA
2007
IEEE
15 years 4 months ago
2007
IEEE
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...