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Larrie V. Hutton

Observed names: L. V. Hutton, L.V. Hutton, Larrie Hutton
OpenAlex ID: A5011948352
Neural network paradigm comparisons for appendicitis diagnoses
2002 · R.C. Eberhart, R.W. Dobbins, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 28
Integrated Delays to Shock as Negative Reinforcement1
1976 · Paul Lewis, Edward T. Gardner, et al. · Journal of the Experimental Analysis of Behavior · 25
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Case Study II: Radar Signal Processing
1990 · Vincent G. Sigillito, Larrie V. Hutton · Elsevier eBooks · 19
Neural networks for automated classification of ionospheric irregularities in HF radar backscattered signals
2003 · S. Wing, R. A. Greenwald, et al. · Radio Science · 13
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Performance Metrics
1990 · Russell C. Eberhart, Roy W. Dobbins, et al. · Elsevier eBooks · 11
Matching With a Key Peck Response in Concurrent Negative Reinforcement Schedules1
1978 · Larrie Hutton, Edward T. Gardner, et al. · Journal of the Experimental Analysis of Behavior · 9
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Using statistics to assess the performance of neural network classifers
1992 · Larrie V. Hutton · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 8
Effects of Response‐independent Negative Reinforcers on Negatively Reinforced Key Pecking
1979 · Larrie Hutton, Paul Lewis · Journal of the Experimental Analysis of Behavior · 8
An Interaction between Auxiliary Knowledge and Hidden Nodes on Time to Convergence
1989 · Larrie V. Hutton, V. G. Sigillito, et al. · PubMed Central · 4
Choice between shock-free times in concurrent avoidance schedules
1976 · Paul Lewis, Laurie Moon, et al. · Bulletin of the Psychonomic Society · 2
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Psychological Laws of Choice (the Generalized Matching Law), Psychophysical Perception (Steven's Law) and Absolute Rate (Herrnsteln's Equation) Can be Derived from Stochastic Networks
2021 · Larrie V. Hutton
Negative Reinforcement with No Delay and No Shock-Frequency Reduction
1975 · Edward T. Gardner, Paul Lewis, et al. · PsycEXTRA Dataset
Works count: 12
Citation count: 127
H-index: 8
I10-index: 5
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