Keywords
GeneralizationComputer scienceSet (abstract data type)AlgorithmGeneralization errorArtificial intelligenceTask (project management)Space (punctuation)MathematicsArtificial neural network
Related Publications
Extracting support data for a given task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support V...
An analysis of noise in recurrent neural networks: convergence and generalization
Concerns the effect of noise on the performance of feedforward neural nets. We introduce and analyze various methods of injecting synaptic noise into dynamically driven recurren...
The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
Sample complexity results from computational learning theory, when applied to neural network learning for pattern classification problems, suggest that for good generalization p...
A new optimizer using particle swarm theory
The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently develope...
Learning State Space Trajectories in Recurrent Neural Networks
Many neural network learning procedures compute gradients of the errors on the output layer of units after they have settled to their final values. We describe a procedure for f...
Publication Info
- Year
- 1992
- Type
- article
- Volume
- 5
- Issue
- 2
- Pages
- 241-259
- Citations
- 6900
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
6900
OpenAlex
223
Influential
6007
CrossRef
Cite This
David H. Wolpert
(1992).
Stacked generalization.
Neural Networks
, 5
(2)
, 241-259.
https://doi.org/10.1016/s0893-6080(05)80023-1
Identifiers
- DOI
- 10.1016/s0893-6080(05)80023-1