ML Anthology

Kernel-Based Topographic mAP Formation by Local Density Modeling

Marc M. Van Hulle
NeCo 2002 pp. 1561-1573
doi:10.1162/08997660260028610 /neco/2002/hulle2002neco-kernelbased/

Abstract

We introduce a new learning algorithm for kernel-based topographic map formation. The algorithm generates a gaussian mixture density model by individually adapting the gaussian kernels' centers and radii to the assumed gaussian local input densities.

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Cite

Text

Van Hulle. "Kernel-Based Topographic mAP Formation by Local Density Modeling." Neural Computation, 2002. doi:10.1162/08997660260028610

Markdown

[Van Hulle. "Kernel-Based Topographic mAP Formation by Local Density Modeling." Neural Computation, 2002.](https://mlanthology.org/neco/2002/hulle2002neco-kernelbased/) doi:10.1162/08997660260028610

BibTeX

@article{hulle2002neco-kernelbased,
  title     = {{Kernel-Based Topographic mAP Formation by Local Density Modeling}},
  author    = {Van Hulle, Marc M.},
  journal   = {Neural Computation},
  year      = {2002},
  pages     = {1561-1573},
  doi       = {10.1162/08997660260028610},
  volume    = {14},
  url       = {https://mlanthology.org/neco/2002/hulle2002neco-kernelbased/}
}