So I think there's no doubt many machine learning methods will get used more and more often.
所以我认为毫无疑问，机器学习方法会被越来越频繁地使用。
Support vector machines (SVM) are a kind of novel machine learning methods based on statistical learning theory, which has been developed to solve classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.
支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。
Additionally, machine learning methods are also applied to massive-sample data mining field.
除此之外，机器学习的理论方法还被用于大数据集的数据挖掘领域。
Recently statistical machine learning methods have been substantially attempted for this issue with some achievements.
近年来，许多学者尝试利用统计机器学习的方法来进行共指消解并取得了一定的进展。
Based on the distribution features of terms with different length, some morphological rules of term structure are concluded by machine learning methods.
针对不同长度术语的分布特性，结合机器学习方法从多角度提炼出术语结构的词法特征。
The projects can be literature reviews, theoretical derivations or analyses, applications of machine learning methods to problems you are interested in, or something else.
专案的形式可以是文献回顾，理论推导或分析，将机器学习的方法应用于你感兴趣的问题上，或者其他形式。
To be able to handle with practical issues with machine learning methods, such as: intelligent game, natural language understanding, knowledge retrieval, image recognition and text classification;
能够运用机器学习方法来解决实际问题，如智能博弈程序，自然语言理解，知识获取，图像识别，文本分类等；
The method of product feature extraction and analysis can be divided into supervised machine learning methods, semi-supervised machine learning algorithms and unsupervised machine learning algorithm.
产品评价对象的提取与分析的方法主要分为有监督的机器学习方法、半监督的机器学习算法、无监督的机器学习算法。
Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.
本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。
Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.
本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。
应用推荐