121 search results - page 15 / 25 » Investigating practical, linear temporal difference learning |
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
MMM
2009
Springer
14 years 3 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
TMI
2002
13 years 8 months ago
2002
The utility of optical tomography as a practical imaging modality has, thus far, been limited by its intrinsically low spatial resolution and quantitative accuracy. Recently, we ha...
FUIN
2010
13 years 6 months ago
2010
Fast plan adaptation is important in many AI-applications. From a theoretical point of view, in the worst case adapting an existing plan to solve a new problem is no more efficien...