In terms of machine learning, we had to give the machines good audiovisual material with real emotions and expressions.
在机器学习方面，我们需要给机器提供带有情绪和表情的很好的声像材料。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
It is insanely fun to be building a restaurant's blog, then to go to a meeting about blood pressure machines, and finish the day off with learning about retirement funds.
建一个餐厅的博客、然后再去参加一个血压机器方面的发布会、再完成一段有关退休基金问题的学习，非常有趣。
Yet machines are learning to see in increasingly reliable and useful ways, opening up a wide range of new applications.
然而，机器在学习“看”的能力这方面，已经越来越值得信赖，而且越来越实用了，这也带来了广泛领域的新应用。
As a learning experience, I'm going to show you how to reinvent how to run ipmitool to remotely access machines.
作为一种学习体验，我将向您展示如何彻底改造运行ipmitool以远程访问计算机的方法？
They aren’t vending machines such that we put in more homework and get out more learning.
他们不会像自动贩卖机那样：我们放入更多作业，他们就 产出更多学习效果。
She liked the machines and instruments, the fun of building things with one's own hands, of learning what no one else knew.
她喜欢机器和仪器，喜欢用自己的双手创造东西，探索别人不知道的一切。
We import machines from abroad; we are learning new science and technology.
我们从国外进口机器，我们在学习新的科学技术。
Support Vector Machines algorithm is a simple and effective classification method based upon statistical learning theory.
支持向量机是基于统计学习理论框架下的一种简单、有效的分类方法。
The paper presents a method of Chinese chunk recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning.
本文研究了一种支持向量机(SVM)和基于转换的错误驱动学习相结合的汉语组块识别方法。
Based on decision tree combined strategy and multiple kernel learning support vector machines, a new fault diagnosis method is proposed to improve the precision and speed of fighter fault diagnosis.
为了提高歼击机故障诊断的准确性与实时性，提出一种基于决策树型组合策略的多重核学习支持向量机诊断方法。
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。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
给出了使用多支持向量机进行增量学习的算法。
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。
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。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.
支持向量机是一种基于结构风险最小原则的新型机器学习方法，具有完备的理论依据和良好的学习泛化能力。
Since extracting rules from support vector machines help to solve those problems, this area is becoming a hot topic in both machine learning and intelligent computing communities.
由于对支持向量机规则提取进行研究有助于解决上述问题，因此该领域正成为机器学习和智能计算界的研究热点。
Support Vector Machines(SVMs)is an algorithm of machine learning, which was widely used in many fields abroad.
支持向量机是一种机器学习算法，在国外已广泛应用于工程实践领域。
Support vector machines based on statistical learning theory is a typical example.
基于统计学习理论的支持向量机便是一个典型的例子。
A large central 'machine hall' forms the heart of the building, designed to house the large printing machines used by artists, around which the learning, business and gallery Spaces are arranged.
一个大的中央“机器大厅”形成了这座大楼的中心，它被设计成可以容纳艺术家们使用的大型印刷机器的地方，在它的周围，学习空间，商业空间和画廊被安排在这里。
The basic statistical learning theory (SLT) and its corresponding algorithms, support vector machines (SVMs), are surveyed, and especially, its latest research results are summarized and studied.
为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。
Machine learning on the other hand, seems to be the science of getting machines to learn.
另一方面，机器学习，似乎是让机器学习的科学。
The training data close to the hyperplane are extracted to form the improved learning machines by using linear clustering.
该类学习机利用线性聚类，提取距分类超平面较近的样本构造改进的学习机。
A differential method for capacity control is presented based on the analysis of the capacity of learning machines.
基于样本的机器学习，要求学习机在容量控制和过拟合之间取一个折衷，从而保证学习机的推广能力和误差精度。
The reduced training set is used to form the learning machines.
该类学习机也是在少训练样本集上构造的。
The reduced training set is used to form the learning machines.
该类学习机也是在少训练样本集上构造的。
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