Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Van Hulle MM (2005) Maximum likelihood topographic map formation. Neural Comput 17:503-13 [PubMed]

References and models cited by this paper

References and models that cite this paper

Ahmad IA, Lin PE (1976) A nonparametric estimation of the entropy for absolutely continuous distributions IEEE Trans Information Theory 22:372-375
AndrĂ¡s P (2002) Kernel-Kohonen networks. Int J Neural Syst 12:117-35 [Journal] [PubMed]
Beirlant J, Dudewicz EJ, Gyorfi L, van_der_Meulen EC (1997) Nonparametric entropy estimation: An overview Int J Math And Statistical Sciences 6:17-39
Benaim M, Tomasini L (1991) Competitive and self-organizing algorithms based on the minimization of an information criterion Proc ICANN91 :391-396
Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc B 39:1-38
Graepel T, Burger M, Obermayer K (1997) Phase transitions in stochastic self-organizing maps Physical Rev E 56:3876-3890
Graepel T, Burger M, Obermayer K (1998) Self-organizing maps: Generalizations and new optimization techniques Neurocomputing 21:173-190
Heskes T (2001) Self-organizing maps, vector quantization, and mixture modeling. IEEE Trans Neural Netw 12:1299-305 [Journal] [PubMed]
Heskes TM, Kappen B (1993) Error potentials for self-organization Proc. IEEE Int. Conf. on Neural Networks :1219-1223
Kohonen T (1995) Self-organizing Maps
Linsker R (1989) How to generate maps by maximizing the mutual information between input and output signals Neural Comput 1:402-411
Luttrell SP (1991) Code vector density in topographic mappings: Scalar case. IEEE Trans Neural Netw 2:427-36 [Journal] [PubMed]
Redner RA, Walker HF (1984) Mixture densities, maximum likelihood and the EM algorithm SIAM Rev 26:195-239
Rice JA (1995) Mathematical statistics and data analysis
Van Hulle MM (1998) Kernel-Based Equiprobabilistic Topographic Map Formation. Neural Comput 10:1847-1871 [PubMed]
Van Hulle MM (2002) Joint entropy maximization in kernel-based topographic maps. Neural Comput 14:1887-906 [Journal] [PubMed]
Vapnik V (1995) The Nature of Statistical Learning Theory
Yin H, Allinson NM (2001) Self-organizing mixture networks for probability density estimation. IEEE Trans Neural Netw 12:405-11 [Journal] [PubMed]
van Hulle MM (2005) Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures Neural Comput 18:430-445
(19 refs)