During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.
课程期间我们将检视数种学习技巧在一些领域上的应用如电脑视觉、电脑绘图、数据库搜索和时间数列分析与预测。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
This paper makes an empirical research on the Fisher effect in China by means of the moden time series techniques plus the relevant statistics from China over the years from 1979 to 2000.
本文应用现代时间序列计量经济学技术，结合中国1979-2000年间的有关数据，进行了费雪效应在中国的实证研究。经验证据表明在这一时期同时存在长期和短期费雪效应。
In this study, a series of ordered macroporous non-oxide ceramics were successfully fabricated for the first time by combining template and preceramic polymer techniques.
本论文结合先驱体转化技术和模板技术，成功制备了一系列有序大孔多孔材料，把多孔材料扩展到非氧化物陶瓷领域。
Time series analysis techniques have been successfully used in the parameter identification of structures.
时间序列分析法已成功地用于结构的参数识别。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
A new methodology based on state space reconstruction and divergence calculation techniques has been developed for financial time series forecasting.
一种新的基于相空间重构和偏差计算技术的方法已被应用于金融市场预测。
Many different methods and techniques about time series similarity search have been proposed and successful applications have been made in some fields, such as stock analysis.
目前，国内外学者和研究人员采用不同的方法围绕时间序列相似性的研究已取得了一定的成果，并在股票等领域有了一定的应用。
Other modeling techniques include ANOVA, time series, and data mining.
其他建模技术包括方差分析，时间序列，和数据挖掘。
During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.
我们也将在课程期间检视数种学习技巧在一些领域上的应用如电脑视觉、电脑绘图、数据库搜索和时间数列分析与预测。
As the digitalization technology and database technology advanced recent years, data mining techniques that focus on multi-dimensional time series attracts more and more researchers.
近年来，随着数据库技术以及数字化技术的不断进步，针对高维时间序列的数据挖掘研究引起了越来越多学者广泛的兴趣。
As the digitalization technology and database technology advanced recent years, data mining techniques that focus on multi-dimensional time series attracts more and more researchers.
近年来，随着数据库技术以及数字化技术的不断进步，针对高维时间序列的数据挖掘研究引起了越来越多学者广泛的兴趣。
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