25 search results - page 2 / 5 » Hyper-learning for population-based incremental learning in ... |
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
ICPR
2008
IEEE
14 years 6 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...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
CI
2005
13 years 4 months ago
2005
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
MCS
2009
Springer
13 years 9 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...