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This paper focuses on presenting a human-in-the-loop reinforcement learning theory framework and foreseeing its application to driving decision making. Currently, the technologies in human-vehicle collaborative driving face great challenges, and do not consider the Human-in-the-loop learning framework and Driving Decision-Maker optimization under the complex road conditions. The main content of this...
This paper proposes a fusion model that merges the context-aware multimodal information of JADE (Java agent development framework). The context-aware multimodal information system is developed from the multi-heterogeneous context sensing devices. This multimodal not only gathers multidimensional data that aims to recognize and analyze the collected emotion information, but also emotion manages the...
A weighted clustering method using the support vector machine approach is proposed for ordinal outputs problem. Based on the ideas of optimal hyper plane and nonlinear mapping, a linear clustering model in feature space is constructed which makes the margins between two separated groups maximal by solving a quadratic programming problem. And the affection of each training example to margins could...
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