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In this paper, we consider a recently proposed supervised learning problem, called online multiclass prediction with bandit setting model. Aiming at learning from partial feedback of online classification results, i.e. ??true?? when the predicting label is right or ??false?? when the predicting label is wrong, this new kind of problems arouses much of researchers' interest due to its close relations...
Matching search technology based on query keyword has been widely used by traditional search way. It still belongs to pure keyword matching and can not acquire satisfactory search results. The essential reason is that traditional Web search lacks semantic understanding to user's search behaviors. In this study, we propose a novel ontology-based framework for semantic expansion search. Based on constructed...
In order to implement an encoder of q-ary LDPC codes, the RU algorithm proposed in [1] is applied in encoder design of q-ary LDPC codes in this paper. A new preprocessing algorithm helping to producing sparser inverse matrix T-1 is presented, which results in better tradeoff strategy between resources and throughput with proper implementation module in T-1. The feasibility and effect of the algorithm...
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