本课程将介绍各领域中的机器学习使用者都应该知道的基础演算法、理论及实务工具。
The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know.
本课程涵盖了语法、语意及对话处理模型，著重在机器学习或是以语料库为基础的方法及演算法。
It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
在介绍测雨雷达反演雷达反射率因子的标准算法的基础上，对雷达反射率因子反演算法进行了改进。
Precipitation radar's standard algorithms of retrieving radar reflectivity factor are introduced first and an improved method is brought forward.
此外，ZEMAX包括全域性优化功能，其以结合减褔最小均方根过程的优化演算法为基础。
Additionally, ZEMAX includes global optimization capabilities, which combines a genetically based optimization algorithm with the damped least squares process.
基础结构会使用指数倒退演算法，根据计算出来的平均来回时间决定何时重新传输。
The infrastructure USES an exponential back-off algorithm to determine when to retransmit, based on a computed average round-trip time.
它是一个以FASTA演算法为基础，用来侦测序列相似性的程式。
That's why we implemented a SIMAP-client for the BOINC platform (Berkeley Open Infrastructure for Network Computing) which is based on the FASTA algorithm to detect sequence similarities.
非专业的简易演算法、基础数论和离散机率。
General ease with algorithms, elementary number theory and discrete probability.
以三维时间推移地震为例，在连续型及逐次递归算法的基础上构造了快速的局域化反演算法。
As a concrete example for the 3-d time-lapse seismic problem, a localized inversion algorithm is designed based on the continuous and recursive methods.
在研究了现有气象雷达三维风场反演的VVP方法的基础上，提出了一种新的基于三维风场均匀分布假设的三维风场VVP反演算法。
On the basis of studying the existing VVP theories and algorithms, a new method of VVP algorithm is proposed for meteorological radar wind 3D retrieval.
此书籍能帮助有讯号处理基础的学者入门gps，介绍了GPS完整的架构与软体演算法。
This book can help a signal processing-based scholars start GPS, GPS introduced a complete architecture and software algorithms.
以该模型为基础，提出一套分析资源需求的演算法。
Based on the model, we will design a methodology for computing resource requirements.
以该模型为基础，提出一套分析资源需求的演算法。
Based on the model, we will design a methodology for computing resource requirements.
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