1662 search results - page 125 / 333 » Generation of Attributes for Learning Algorithms |
120
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ICPR
2008
IEEE
16 years 3 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...
119
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AUSAI
2005
Springer
15 years 8 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...
116
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MCS
2009
Springer
15 years 7 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...
121
Voted
ICDM
2005
IEEE
15 years 8 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...
103
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ICPR
2002
IEEE
16 years 3 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...