Philosophy is systematic reflective thinking on life.

Cloud Migration Research:A Systematic Review Author Info: Pooyan Jamshidi PhD Postdoctoral Researcher Dublin City University· School of Computing Major: model-driven software architecture evolution PS: This paper is the first SLR(Systematic Literatur

Designing fault tolerant systems is extremely difficult.  You can try to anticipate and reason about all of the things that can go wrong with your software and code defensively for these situations, but in a complex system it is very likely that some

Even though the UNIX system introduces a number of innovative programs and techniques, no single program or idea makes it work well. Instead, what makes it effective is an approach to programming, a philosophy of using the computer. Although that phi

The concept of STL is based on a separation of data and operations. The data is managed by container classes, and the operations are defined by configurable algorithms. Iterators are the glue between these two components and they let any algorithm in

一.基本信息 标题:UML model refactoring: a systematic literature review 时间:2015 出版源:Empirical Software Engineering 领域分类:模型重构:模型转换:系统文献综述:UML 二.研究背景 问题定义:UML模型重构 难点:模型的转换与术语的重构: 相关工作:模型重构:审核流程 三.创新方法 1.提供了模型重构的背景,描述了用于审查的方法. 2.收集并分析了选定的研究,讨论了结果,并回答了系统评价中提出的研究

在使用Java API操作HBase时抛出如下异常: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil (file:/C:/Users/RYJ/.m2/repository/org/apache/hadoop/hadoop-auth/2.6.5/hadoop-auth-2.6.5.jar) to method sun.security.krb5.Config.getIn

This past weekend I read Joe Armstrong’s paper on the history of Erlang. Now, HOPL papers in general are like candy for me, and this one did not disappoint. There’s more in this paper that I can cover in one post, so today I’m going to concentrate on

拿来跟python之禅对比一下 每个程序只做一件事,但做到极致 用程序之间的相互协作来解决复杂问题 每个程序都采用文本作为输入和输出,这会使程序更易于使用 参阅:维基百科 The Zen of Python

写在前面 论文状态:Published in CVIU Volume 161 Issue C, August 2017 论文地址:https://arxiv.org/abs/1606.02228 github地址:https://github.com/ducha-aiki/caffenet-benchmark 在这篇文章中,作者在ImageNet上做了大量实验,对比卷积神经网络架构中各项超参数选择的影响,对如何优化网络性能很有启发意义,对比实验包括激活函数(sigmoid.ReLU.ELU.ma