Sentence examples for slower learning rate from inspiring English sources

Thus, even with proper STDP tuning and slower learning rate, we cannot still unlearn the already learnt digits, when new patterns are shown to the network.

This is an aspect where the algorithms presented in [11, 12] differ: the first algorithm simply performs an exponential moving average, while the second uses an update equation that learns faster in the initial phase (when the model is being initialized), and then converges to a slower learning rate subsequently.

This accounts for the apparent slower learning rate later in the experiments.

In particular note that the inference model correctly predicts no change in the prior's estimated mean, but a slower learning rate for the second half of the experiment; just as with the subject's data, the model is slow to infer the last half of experiment 2A relative to the first half of experiment 2B.

Although both groups showed a decrease in RTs during the pattern phases of the task, the adolescents with SLI showed a slower learning rate than the controls.

In our simulation, we used a relatively fast learning rate to simulate typical adult performance, but patients with any movement disorders often have a slower learning rate.

Compared to the normal controls, the WD group had significantly slower learning rates in both rule-based and information-integration category learning (t 56) = 2.655 and 2.895, both p<0.01).

We suggest that equivalent-states explain the well-established slower learning rates of trace compared to delay conditioning [55], and explain the slow loss of dopamine signal at conditioned stimuli with overtraining [32].

We found that the eight WD subjects had much slower learning rates in both rule-based (109±10 versus 76±5 trials, t(18) = 3.354, p<0.01) and information-integration (137±11 versus 105±9 trials, t(18) = 2.591, p<0.02) category learning (Figures 4CD).

As shown in Figure 5C, during hidden platform testing, APP/PS1 mice exhibited significantly slower learning rates compared with their non-transgenic littermates (P < 0.001), indicating consistent learning and memory deficits in APP/PS1 mice, as reported previously.

This paper tackles two deficiencies of multi-agent reinforcement learning methods: their slow learning rate, and low quality decision-making in early stages of learning.