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Learning and imprinting in stationary and non-stationary environment

https://doi.org/10.1007/bf00274888
0 signed · 26 inferred · view as graph

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What this work says

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

inferredcites →https://doi.org/10.1002/zamm.19630431226openalex-snapshot
M. Fisz, Wahrscheinlichkeitsrechnung und Mathematische Statistik. Zweite, unveränderte Auflage. XII + 528 S. m. 37 Abb. Berlin 1962. VEB Deutscher Verlag der Wissenschaften. Preis geb. DM 36,–
inferredcites →https://doi.org/10.1007/978-3-642-95143-5_2openalex-snapshot
Wahrscheinlichkeitsrechnung und mathematische Statistik
inferredcites →https://doi.org/10.1007/bf00270576openalex-snapshot
A model for learning and imprinting with finite and infinite memory range
inferredcites →https://doi.org/10.1007/bf02614235openalex-snapshot
„Wahrscheinlichkeitslernen“ in der statistischen Lerntheorie
inferredcites →https://doi.org/10.1007/springerreference_205724openalex-snapshot
Information Theory and Statistics
inferredcites →https://doi.org/10.1016/0016-0032(59)90368-0openalex-snapshot
Information theory and statistics
inferredcites →https://doi.org/10.1016/0022-5193(73)90165-3openalex-snapshot
Mathematical learning models and neuronal networks
inferredcites →https://doi.org/10.1037/14496-000openalex-snapshot
Stochastic models for learning.
inferredcites →https://doi.org/10.1037/h0054388openalex-snapshot
A mathematical model for simple learning.
inferredcites →https://doi.org/10.1080/00401706.1966.10490367openalex-snapshot
An Introduction to Mathematical Learning Theory
inferredcites →https://doi.org/10.1214/aoms/1177728914openalex-snapshot
A Stochastic Model with Applications to Learning
inferredcites →https://doi.org/10.1515/9783112574980openalex-snapshot
Wahrscheinlichkeitsrechnung und mathematische Statistik
inferredcites →https://doi.org/10.2307/1420401openalex-snapshot
An Introduction to Mathematical Learning Theory
inferredcites →https://doi.org/10.3109/00207457209147016openalex-snapshot
Learning and Information Theory
inferredcites →https://doi.org/10.3109/00207457309147184openalex-snapshot
Mathematical Learning Models and Modifiable Synapses

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-642-80885-2_30openalex-snapshot
Information Theory and Learning in Biology Summary of the Workgroup Sessions
inferred← citeshttps://doi.org/10.1007/bf00270576openalex-snapshot
A model for learning and imprinting with finite and infinite memory range
inferred← citeshttps://doi.org/10.1007/bf00288978openalex-snapshot
Ein verallgemeinertes adaptives Modell zur Beschreibung von Lern- und Identifikationsprozessen
inferred← citeshttps://doi.org/10.1007/bf00326691openalex-snapshot
Correlation memory models — a first approximation in a general learning scheme
inferred← citeshttps://doi.org/10.1007/bf00335288openalex-snapshot
Learning and optimization in biological systems
inferred← citeshttps://doi.org/10.1007/bf01014606openalex-snapshot
Information-theoretic stability and evolution criteria in irreversible thermodynamics
inferred← citeshttps://doi.org/10.1016/0893-6080(95)00038-0openalex-snapshot
Sensor encoding using lateral inhibited self-organized cellular neural networks
inferred← citeshttps://doi.org/10.1016/b978-0-12-464260-7.50017-1openalex-snapshot
Neural Networks
inferred← citeshttps://doi.org/10.1109/72.701175openalex-snapshot
Noise suppressing sensor encoding and neural signal orthonormalization
inferred← citeshttps://doi.org/10.1109/cdc.1973.269194openalex-snapshot
Finite and infinite memory range learning processes in stationary and nonstationary environments
inferred← citeshttps://doi.org/10.1109/tai.1994.346501openalex-snapshot
Cascaded vector quantization by non-linear PCA network layers
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