595 search results - page 66 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
172
click to vote
PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
162
click to vote
IJCNN
2006
IEEE
16 years 2 days ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
170
click to vote
BMVC
2010
15 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
169
click to vote
IADIS
2008
15 years 7 months ago
2008
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
199
click to vote
APBC
2006
15 years 7 months ago
2006
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...