约瑟夫·奈，《核学习与美苏安全机制》，载《国际组织》1987年夏季号。
Joseph S. Nye, Jr. , "Nuclear Learning and U. S. -Soviet Security Regimes", International Organization, Vol 41, no. 3, Summer 1987.
为了有效地评测人的驾驶精神疲劳状态，本文提出了一种基于核学习算法的精神疲劳分级方法。
To effectively identify driving mental fatigue states, a new method based on kernel learning algorithm is presented.
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。
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.
在另一项研究中，科学家说他们已经认定多动症儿童的尾状核与其他儿童有区别，尾状核是大脑中与学习和记忆有关的一个区域。
In a separate study, other scientists said they had determined that ADHD children have differences in the caudate nucleus, which is involved in learning and memory, compared to other children.
接下来，你会通过工作的主要键在核各一，学习如何优化工具，为不同类型的绿色屏幕，他们的长处和弱点是什么。
Next, you'll work through each one of the major keyers inside of NUKE, learning how to refine each tool and what their strengths and weaknesses are for different types of green screens.
它使用结构风险最小化原则，运用核技巧，较好地解决了学习问题。
They USES Structural Risk Minimization and the kernel trick to solve the learning problems.
鸟类的发声和发声学习涉及处于脑中不同水平的相互联系的一些发声核团。
Song learning and production in birds involve a discrete set of interconnected song nuclei in the avian brain.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
然而，每种核函数都有它的优势和不足，整合两个或多个核函数对于学习能力和泛化能力的提高是一个有效的途径。
However, Every kernel has its advantages and disadvantages. Combining two or more kernels is one of efficient method for improving the ability of learning and generalization.
结论毁损伏隔核，海洛因依赖大鼠的戒断症状减轻、学习记忆能力下降、探究行为兴奋性降低。
Conclusions After the NAc was been destroyed, the withdrawal signs are alleviated, and the learning and exploring abilities of the heroin-dependent rats are weakened.
这个专业学习放射性材料和辐射，以及学习如何在电力供应、核医疗和工业等领域应用这些材料。
Nuclear engineering majors study radioactive materials and radiation and learn how to use them in areas such as power, nuclear medicine, and industry.
结论碘缺乏子代大鼠学习记忆力低下与尾核内乙酰胆碱系统的功能障碍有关。
Conclusions the poor learning and memory is related to the dysfunction of cholinergic system of CN in GIDR.
通过自适应的离散粒子群算法来对核相似矩阵进行学习。
Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.
在这样的教训，我们将学习如何使用朝核通道系统系列。
In this series of lessons we'll learn how to use the Channel system of Nuke.
课程模块的设置应包括语言学习策略、共核英语、应用技能、文化素养、专业英语等五大模块。
Curriculum module Settings should include five big modules as language learning strategies, core English, the application of skills, culture promotion, professional English.
目的通过学习核灾害事件的特点和面临的应急形势，以提高对医学救治重要性的认识，加强医学救援应对措施。
Objective Objective Through the study of characteristics of catastrophe events and we face emergency situation so that we should enhance cognition of the importance of emergent medical rescue.
目的研究大鼠伏核中胆囊收缩素（CCK）调节学习记忆的受体机制。
Objective To determine the receptor subtype mediating the modulatory actions of CCK in the medial posterior nucleus accumbens of the rats on learning and memory.
新型的组合式核函数既具有较好的学习能力，又能充分应用高光谱图像所提供的信息。
The new modular kernel function not only has a good learning ability, but also applies the full information which the high-dimensional spectra remote sensing image provided.
核函数是SVM的关键技术，核函数的选择将影响着支持向量机的学习能力和泛化能力。
Kernel function is the key technology of SVM, the choice of kernel will affect the learning ability and generalization ability of SVM.
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。
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.
在SVM学习中，对SVM的核函数及其参数的选择还没有形成一个统一的模式。
With SVM, there is no a uniform mode to choice SVM's kernel function and its parameters.
最后讨论了离散尺度与小波核函数的构造，核函数选择与核参数学习。
Finally, the construction of discrete scaling and wavelet kernels, the kernel selection and the kernel parameter learning are discussed.
本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。
This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.
中风患者因为疾病原因已经忘记了原有运动技能。研究者们使用功能性磁核共振成像的方法，监测了他们重新学习该技能时的大脑活动。
They have used an approach called functional MRI to monitor activity in the brain as stroke patients re-learn motor skills that were lost as a result of their illness.
由于在真核基因剪接位点的识别中引入了机器学习方法，剪接位点的识别率有了大幅度的提高。
Because of introducing the machine learning method in the recognition of splice sites of the eukaryotic DNA, the recognition rate of splice sites is largely heightened.
由于在真核基因剪接位点的识别中引入了机器学习方法，剪接位点的识别率有了大幅度的提高。
Because of introducing the machine learning method in the recognition of splice sites of the eukaryotic DNA, the recognition rate of splice sites is largely heightened.
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