1.1 Machine learning: what and why? 1 1.1. 1 Types of machine learning 2 1.2 Supervised
learning 3 1.2. 1 Classification 3 1.2. 2 Regression 8 1.3 Unsupervised learning 9 1.3. 1 …

针对在基于层析成像技术的拓扑推断中测量节点性能时大都需要节点间的时钟同步,
并且受到网络负载的影响比较大的问题, 提出了一种可以测量时延抖动和丢包率的四元分组序列 …

Understanding the network link loss is particularly important for optimising delay-sensitive
applications. This study addresses the issue of estimating temporal dependence …

A key challenge in wireless networking is the management of interference between
transmissions. Identifying which transmitters interfere with each other is a crucial first step. In …

In the SLM paradigm, multiple scenarios of the mining of the deposit are generated. From a
practical perspective, this set of scenarios is unfeasible to be used in mine design due to the …

Understanding network link loss is particularly important for optimizing delay-sensitive
applications. This paper addresses the problem of estimating temporal dependence …