The time spent in collecting current samples for decoder calibration and the computational
burden brought by high-dimensional neural recordings remain two challenging problems in …

Features are the most important things and huge influence on machine learning models.
The removing of noisy and irrelevant features causes to increase the efficiency and accuracy …

Numerous breakthroughs in cancer have been achieved and it is now widely recognized as
a genetic disease. Still many of the molecular mechanisms are unknown, creating a gap to …

Resumo De Sá, Marcos Vinícius Porto. Vellasco, Marley. Algoritmo Genético para Seleção
de Variáveis na Classificação de Falhas em Processos Químicos de Larga Escala. Rio de …

Users and hundreds of foundation communicate over the internet so in order to secure these
communications we need to detect any abnormally Network traffic may refer to an …

数据维度相关性分析一直是数据分析领域的研究重点. 传统的可视化方法可通过图形描述直观
判断几个数据维度存在何种相关关系, 但是难以解决维数灾难问题. 一些数据挖掘方法虽然可行 …