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。
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。
Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).
总结归纳了机器学习方法在目前生物信息学的应用，并对支撑向量机（SVM）算法的基本原理做了阐述；
Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.
针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。
Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
基于此，利用核机器学习方法和医生的先验知识，指导计算机辅助诊断未知影像数据，可大大提高医生准确诊断的效率。
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。
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。
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。
It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
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。
The methods proposed here are not only a new approach of machine learning, but alos a new kind of investigation on inductive decision.
这种研究方法不仅开拓了一条机器学习的新途径，而且也是从数据中推理决策规则的一种新探索。
In this article we discussed filter spam methods using text categorization technologies in machine learning fields.
本文使用机器学习理论，讨论了用文本分类的方法来过滤垃圾邮件。
The discrete attributes were required by voluminous methods on machine learning, but continuous attributes are universal in practice.
机器学习中很多方法要求目标属性是离散的，而实际中很多属性是连续的。
Exemplar learning is one of common methods in machine learning.
实例学习是机器学习中的一种常见的方法。
An outline of basic meanings and main methods about machine learning and face recognition is given.
对机器学习与人脸识别的基本含义和主要方法进行了概述。
Among the large number of new plugins are an automated processing framework, dynamic filtering, new and efficient clustering methods, a machine learning module and database connectivity.
大量新的插件有：一个自动处理框架、动态过滤，新的且有效的聚类方法，一个机器学习模块和数据库连接。
Many built-in methods for clustering, machine learning and classification are provided for dissecting complex datasets.
提供了用来剖析复杂数据集的聚类、机器学习和分类的很多内置方法。
As the knowledge representation methods simulating human language, semantic network has significant impact and position in intelligence system development and machine learning fields.
语义网络作为一种模拟人类的语言的知识表示方法，在开发智能系统和机器学习领域中具有重要的地位和作用。
This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques.
从建立已久的统计方法到更新近的机器学习技术，这本书提供这些重要的数据分析方法的概述。
To be familiar with the primary concepts, theory, methods and technologies of machine learning;
了解和掌握机器学习的基本概念、原理、方法与技术及其应用情况；
This paper USES methods of machine learning to enhance the exactness of search engine. It aims to submit a character string which is similar to users "interesting."
文章采用了机器学习技术，从提交更精确地反映用户兴趣的检索串入手，研究如何提高搜索引擎在准率。
Decision trees and their ensembles are popular methods for the machine learning tasks of classification and regression.
决策树和决策树的组合，是解决分类问题和回归问题比较流行的一类算法。
Handbook. Of. Research. On. Machine. Learning. Applications. and. Trends. Algorithms,. Methods. and. Techniques. 2.
[机器学习应用与趋势研究手册算法，方法与技术]。
Handbook. Of. Research. On. Machine. Learning. Applications. and. Trends. Algorithms,. Methods. and. Techniques. 2.
[机器学习应用与趋势研究手册算法，方法与技术]。
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