Pages that link to "Item:Q3370749"
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The following pages link to Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks (Q3370749):
Displaying 13 items.
- Node perturbation learning without noiseless baseline (Q553265) (← links)
- The exponential learning equation as a function of successful trials results in sigmoid performance (Q979189) (← links)
- Optimal node perturbation in linear perceptrons with uncertain eligibility trace (Q1784544) (← links)
- Learning flexible sensori-motor mappings in a complex network (Q2376421) (← links)
- Adaptive optimal control without weight transport (Q2919414) (← links)
- (Q3023437) (← links)
- Sensitivity Derivatives for Flexible Sensorimotor Learning (Q3519227) (← links)
- Learning Spike-Based Population Codes by Reward and Population Feedback (Q3576270) (← links)
- Asymptotic behaviour in learning from stochastic examples: one-step RSB calculation of the learning curve (Q4227635) (← links)
- (Q5149018) (← links)
- Learning curves for LMS and regular Gaussian processes (Q5267247) (← links)
- An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity (Q5380699) (← links)
- A differential Hebbian framework for biologically-plausible motor control (Q6072576) (← links)
