"Machine learning" shows the core of machine learning algorithms and theory, and illustrates the algorithm is running.
非常经典的机器学习的英文原版。《机器学习》展示了机器学习中核心的算法和理论，并阐明了算法的运行过程。
Algorithms and theory of computation Handbook presents a comprehensive treatment of algorithms, data structures, and theory of computation.
算法和计算理论手册提出广泛的处理算法，数据结构和计算理论。
At the theoretical end, this focus manifests itself in complexity theory, which groups algorithms according to their time and space requirements for execution.
除理论之外，这种专注表现在本身复杂性的理论，它根据它们运行的时间和空间需求来组织算法。
Wagner and Arkin used interdependence theory and game theory to develop algorithms that tested the value of deception in a specific situation.
瓦格纳和阿尔金使用互赖理论和博弈论来开发算法，评估在特殊场景下欺骗的价值。
The major parts of this paper put on the hardware construct, working theory and the new image correlation matching algorithms.
重点介绍了该实时数字图像处理系统的硬件组成、工作原理和新的图像相关匹配算法。
Genetic algorithms theory and method is first time being used to solve inverse problem of environmental hydraulics.
首次把遗传算法的理论和方法引入环境水力学反问题的求解中。
Study and set up innovative safe theory and serial algorithms, have important realistic meanings.
研究和建立创新性安全理论和系列算法，具有重要的现实意义。
Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
In this paper, the author presented the viewpoint that System simulation is based on model theory, simulation algorithms and simulation credibility evaluation theory.
本文提出将模型论、仿真算法和仿真可信度评估理论作为系统仿真学科的基础理论的观点。
According to the theory of the algorithm, the noise elimination algorithm based on noise model can also be extended to the other compression algorithms such as DCT, DPCM, JPEG, SPIHT and MPEG.
从算法的理论基础来看，其中基于噪声模型的噪声清除算法对其他编码算法(如dct、DPCM、JPEG、SPIHT、MPEG等等)同样具有推广意义。
Some theories and key algorithms of solid modeling such as the theory of r-sets, representation model based on generalized Euler formulas, set membership classification are explained and summarized.
本文阐述并总结了实体造型的一些理论和关键算法，如正则集理论，基于推广的欧拉公式的表示模型，集合成员分类。
Computational learning theory provides formal framework for comparing the performance of two algorithms, and can determine the sample complexity and the computational complexity of some concept class.
计算学习理论为比较两算法的性能提供了形式化的框架，并能确定某概念类的计算复杂度和样本复杂度。
The authors briefly review the theory of cost-sensitive learning, and the existing cost-sensitive learning algorithms.
简要地回顾了代价敏感学习的理论和现有的代价敏感学习算法。
In this paper, three aspect that is theory discussion, algorithms realization and applications are introduced, which aim at edge detection in distilling image character.
本文系统地介绍了针对图像特征提取中边缘检测方面所做的理论探讨、算法实现及实际应用三方面的工作。
Based on morphology grads algorithms and multi-direction morphology structure element of mathematical morphology theory, this paper presents a new method for remote sensing image edge detection.
在灰值形态学梯度算法和多方位形态结构元素形态学理论分析基础上，提出了提取遥感图像边缘信息的新方法。
The method consists of two parts: aerodynamic performance calculation based finite blade vortex theory and aerodynamic optimization design based genetic algorithms.
该方法分为两部分：基于有限片桨叶涡流理论的气动性能计算和采用遗传优化算法的优化设计。
As such, all the theory and algorithms in signal reconstruction from its spectral magnitude should be applied to solving the parameters of ma model.
这样，所有幅度谱重构信号问题的理论与算法均可应用于MA模型参数求解当中。
Brings forth two new shadow detection algorithms: one is based on total variation theory and the other is based on mean shift theory.
主要提出两种全新的阴影检测算法—基于整体变分理论的检测法和基于均值平移理论的检测法。
The theory analysis and test result of the algorithms are given in this paper.
本文给出了算法的理论分析和实验测试结果。
This paper is basically researches the theory, the performance, the advantage and the disadvantage about these algorithms.
对这些算法的原理、性能以及优缺点作了进一步的探讨。
This paper discusses the theory and several algorithms of rational function interpolation.
本课题对有理函数插值方法的理论及其算法进行了研究。
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。
SVM transforms machine learning to solve an optimization problem, and to solve a convex quadratic programming problem by the optimization theory and method constructing algorithms.
它将机器学习问题转化为求解最优化问题，并应用最优化理论构造算法来解决凸二次规划问题。
This theory of Bayesian sampling plans, Then gives simple and exact algorithms of this kind of plans for small lot sizes.
首先介绍了贝叶斯抽样方案的原理，给出批量较小时这类方案的简单精确算法。
For example, we construct GPS and PPSP for phosphorylation site prediction, based on GPS and Bayesian Decision Theory algorithms, respectively.
例如，我们使用GPS和贝叶斯决策理论算法，分别构建了预测蛋白质磷酸化位点的GPS和PP SP网站。
In this thesis, the author presents the theory of data mining, and deeply analyzes the algorithms of clustering and outliers detection.
本文介绍了数据挖掘理论，对聚类及孤立点检测算法进行了深入地分析研究。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
Hash function plays an important role in the query algorithm, and the query algorithms based on it achieves a constant time complexity in theory.
散列函数在查询算法中起着重要作用，基于此的查询算法在理论上可达到常数级时间复杂度。
Hash function plays an important role in the query algorithm, and the query algorithms based on it achieves a constant time complexity in theory.
散列函数在查询算法中起着重要作用，基于此的查询算法在理论上可达到常数级时间复杂度。
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