机译:探索多关系贝叶斯分类的语义关系图优化
Krannert School of Management. Purdue University, West Lafayette, IN, USA;
School of Economics and Management, Tsinghua University, Beijing, China;
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA;
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA;
School of Information, Renmin University of China, Beijing, China;
multi-relational classification; naieve Bayesian classification; semantic relationship graph; feature selection; depth-first; width-first;
机译:基于卷积神经网络的层次土地利用分类探索语义关系
机译:通过贝叶斯排名的非线性嵌入式多关系分类
机译:基于贝叶斯网络的带有关系图的语义图像分类
机译:基于语义关系图的高效多关系朴素贝叶斯分类器
机译:语义记忆与情景记忆之间的关系:探讨语义邻域密度对情景记忆的影响
机译:共同出现的UMLS概念之间关系的语义探索方法
机译:一种基于语义关系图的高效多关系朴素贝叶斯分类器