2615 search results - page 194 / 523 » Predictive Hebbian Learning |
169
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MCS
2005
Springer
15 years 9 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
165
Voted
GECCO
2008
Springer
15 years 5 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
152
Voted
JMLR
2006
15 years 3 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
144
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BMCBI
2006
15 years 4 months ago
2006
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
132
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ECML
2004
Springer
15 years 9 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...