Exact(17)
Our study contrasts group cooperation where each learner is given asymmetric learning contents, with a cooperative group with two single learners given symmetric (identical) learning contents.
Furthermore, an adaptive asymmetric learning algorithm is proposed to fuse these aspects.
SMEs can accumulate absorptive capacity through mechanisms in formal trainings and network interactions in an asymmetric learning relationship.
In other words, the results revealed an asymmetric learning transfer between tasks, which suggests that spatial representations are hierarchically organized.
The paper seeks to draw attention to learning approaches from adaptive learning to generative learning in a SME in the context of asymmetric learning relationship.
Three alternatives of pLSA-based models that provided in [13] were presented by using asymmetric learning for semantic indexing of large image collections.
Similar(43)
a Asymmetric Hebbian learning function.
By comparing the normalized likelihoods of the FQ-learning and asymmetric BQ-learning, we found that the asymmetric BQ-learning had higher normalized likelihoods in 99 of 130 sessions, and had a significantly higher normalized likelihood (paired t-test with 129 degrees of freedom, P = 1.28E-18).
Among the Bayesian Q-learning models, the asymmetric BQ-learning exhibited the highest normalized likelihood.
Vehicle detection systems were trained by three different approaches: the conventional cascade learning approach, the asymmetric boosting approach, and the proposed system.
In our free-choice task, the action selections in the first and last parts of the blocks were significantly different (Fig. 2); the difference of action selection is possibly explained with the uncertainty-dependent time-varying learning rates in asymmetric BQ-learning (Fig. 6B).
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