机译:具有判别性的文档嵌入和用于对临床叙事进行分类的极限学习机
Computer Science and Engineering Department, Oakland University;
Computer Science and Engineering Department, Oakland University;
China University of Geosciences;
Department of Mechanical and Industrial Engineering, The University of Iowa,Department of Business Management and Analytics, Arcada University of Applied Sciences;
Document classification; Feature learning; Word embeddings; Document embeddings; Skip-gram; PV-DBOW; Multiple discriminant analysis; Extreme learning machines; Clinical narratives;
机译:通过双局线性嵌入歧管学习来训练多标题神经网络分类器来规范极限学习机
机译:比较以边界法表示的五个常见分类器的性能:欧氏距质心的距离,线性判别分析,二次判别分析,学习向量量化和支持向量机,...
机译:使用模糊集和极限学习机的混合方法对临床数据集进行分类
机译:使用ELM判别词嵌入的临床叙事分类
机译:基于整数的受限Boltzmann机器分类器的嵌入式系统有效的机器学习推断
机译:缩回:医学数据集分类:结合粒子群优化与极限学习机分类器的机器学习范例
机译:使用模糊集和极限学习机的混合方法对临床数据集进行分类