Titlebook: Neural Information Processing; 23rd International C Akira Hirose,Seiichi Ozawa,Derong Liu Conference proceedings 2016 Springer Internationa

秘密會議

Extended Dependency-Based Word Embeddings for Aspect Extractioncy-based word vectors and specialized features as representation of words. With such extended embeddings composed in recurrent neural networks, we make use of advantages of both word embeddings and traditional features. Evaluated on SemEval 2014 task 4 dataset, the proposed method outperform existin

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Topological Order Discovery via Deep Knowledge Tracingudies have examined this task from knowledge tracing perspective. In this paper, we introduce a new task of discovering topological order of skills using students’ exercise performance and explore the utility of Deep Knowledge Tracing (DKT) to solve this task. The learned topological results can be

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有惡意

Neural Network Based Association Rule Mining from Uncertain Datanding frequent itemsets from large datasets. This paper proposes a novel algorithm based on Self-Organizing Map (SOM) clustering for ARM from uncertain data. It supports the feasibility of neural network for generating frequent itemsets and association rules effectively. We take transactions in whic

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