4544 search results - page 536 / 909 » Reinforcement Learning with Time |
164
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
151
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
132
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
192
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
167
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...