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Using a Gaussian mixture neural network for incremental learning and robotics

https://doi.org/10.1109/ijcnn.2012.6252399
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-15822-3_22openalex-snapshot
An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks
inferredcites →https://doi.org/10.1007/978-3-642-16138-4_9openalex-snapshot
Incremental Learning of Multivariate Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/978-3-642-16687-7_21openalex-snapshot
Concept Formation Using Incremental Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/bf00340335openalex-snapshot
Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions
inferredcites →https://doi.org/10.1007/bf00344744openalex-snapshot
Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors
inferredcites →https://doi.org/10.1007/bf02165411openalex-snapshot
Gaussian elimination is not optimal
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot
Finding structure in time
inferredcites →https://doi.org/10.1037/11168-000openalex-snapshot
The construction of reality in the child.
inferredcites →https://doi.org/10.1080/095400999116313openalex-snapshot
Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment
inferredcites →https://doi.org/10.1109/72.329697openalex-snapshot
Training feedforward networks with the Marquardt algorithm
inferredcites →https://doi.org/10.1109/72.97934openalex-snapshot
A general regression neural network
inferredcites →https://doi.org/10.1109/cerma.2007.4367736openalex-snapshot
Applying Genetic Algorithms to Control Gait of Simulated Robots
inferredcites →https://doi.org/10.1109/fpa.1994.636076openalex-snapshot
From perception to action: the right direction?
inferredcites →https://doi.org/10.1109/icnn.1993.298623openalex-snapshot
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
inferredcites →https://doi.org/10.1109/sbrn.2006.29openalex-snapshot
Neural Networks Applied to Gait Control of Physically Based Simulated Robots
inferredcites →https://doi.org/10.1109/sbrn.2008.22openalex-snapshot
Applying Neural Networks to Control Gait of Simulated Robots
inferredcites →https://doi.org/10.1109/sbrn.2010.13openalex-snapshot
IPNN: An Incremental Probabilistic Neural Network for Function Approximation and Regression Tasks
inferredcites →https://doi.org/10.1109/tac.1974.1100629openalex-snapshot
Algorithms for minimization without derivatives
inferredcites →https://doi.org/10.1145/1529282.1529540openalex-snapshot
Evolving morphologies and gaits of physically realistic simulated robots
inferredcites →https://doi.org/10.1145/1982185.1982484openalex-snapshot
Incremental feature-based mapping from sonar data using Gaussian mixture models
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/2005713openalex-snapshot
Algorithms for Minimization Without Derivatives
inferredcites →https://doi.org/10.4013/jacr.2011.11.01openalex-snapshot
IGMN: An incremental connectionist approach for concept formation, reinforcement learning and robotics
inferredcites →https://doi.org/10.4324/9781315009650openalex-snapshot
The Construction Of Reality In The Child
inferredcites →https://doi.org/10.5860/choice.29-3935openalex-snapshot
Made-up minds: a constructivist approach to artificial intelligence
inferredcites →https://doi.org/10.5962/bhl.title.5851openalex-snapshot
An introduction to cybernetics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4781629openalex-extracted
inferred← citeshttps://doi.org/10.1007/s13042-022-01649-wopenalex-snapshot
A novel adaptive methodology for removing spurious components in a modified incremental Gaussian mixture model
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127585openalex-snapshot
Temporal mixture density networks for enhanced investment modeling
inferred← citeshttps://doi.org/10.1016/j.jocs.2022.101874openalex-snapshot
An adaptive optimization method for estimating the number of components in a Gaussian mixture model
inferred← citeshttps://doi.org/10.1109/ijcnn.2016.7727511openalex-snapshot
Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533632openalex-snapshot
Fast Reinforcement Learning with Incremental Gaussian Mixture Models
inferred← citeshttps://doi.org/10.11606/d.59.2013.tde-20082013-161108openalex-snapshot
Filtro de difusão anisotrópica anômala como método de melhoramento de imagens de ressonância magnética nuclear ponderada em difusão
inferred← citeshttps://doi.org/10.1371/journal.pone.0139931openalex-snapshot
A Fast Incremental Gaussian Mixture Model
inferred← citeshttps://doi.org/10.24963/ijcai.2019/463openalex-snapshot
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
inferred← citeshttps://doi.org/10.30865/mib.v6i1.3490openalex-snapshot
Pengembangan Model Fast Incremental Gaussian Mixture Network (IGMN) pada Interpolasi Spasial
inferred← citeshttps://doi.org/10.48550/arxiv.1701.03940openalex-snapshot
Scalable and Incremental Learning of Gaussian Mixture Models
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