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In this paper, a mutual information (MI) and Extreme Learning Machine (ELM) based inverse reinforcement learning (IRL) algorithm, which termed as MEIRL, is proposed to construct nonlinear reward function. The basic idea of MIIRL is that, similar to GPIRL, the reward function is learned by using Gaussian process and the importance of each feature is obtained by using automatic relevance determination...
We compare the quality of some classic Electrical Impedance Tomography (EIT) algorithms according to different methods of solving inverse problem. We carried out a transverse comparison between single-step reconstruction and modified Newton-Raphson algorithms (MNR). Our results of the simulation evaluation demonstrate Sensitive matrix algorithm is better than equipotential lines back-projection algorithm...
Event extraction is a major task of Automatic Content Extraction (ACE) program. This paper focuses on the sub-task of event extraction, event argument identification, and proposes a novel method for Chinese event argument identification. The method involves two steps: (1) weighting features by the ReliefF algorithm for considering the particular contributions of different features on clustering analysis,...
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