1662 search results - page 125 / 333 » Generation of Attributes for Learning Algorithms |
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
AUSAI
2005
Springer
14 years 3 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
ICDM
2005
IEEE
14 years 3 months ago
2005
IEEE
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...