机器学习

Support Vector Machine is a machine learning method based on Statistical Learning Theory.

支持向量机是基于统计学习理论的一种机器学习的方法。

Based on statistical learning theory and optimization theory,unconstrained optimization models for support vector machines are built,and an approximate algorithm-maximum entropy method is given.

本文方法特别易于计算机实现，数值实验结果表明了模型和算法的可行性和有效性。1引言近年来，在V.V apn ik的统计学习理论[1，2]基础上发展起来的支持向量机(Support V ector M ach ine，SVM)正成为机器学习领域中新的研究热点[3，4，5]。

Support Vector Machine is a kind of new machine studying method, which is based on Statistical Learning Theory.

支持向量机是基于统计学习理论的一种新的机器学习方法。

Support Vector Machine is a kind of new machine learning algorithm developed on the basis of statistical learning theory.

支持向量机是在统计学习理论的基础上发展起来的一种新的机器学习方法。

Interactive visual association rules learner RestrictApriori is designed and implemented and it is integrated with machine learning tools Weka.

设计实现了交互式可视化关联规则学习器RestrictApriori并将其与机器学习平台Weka集成。

An amendatory dynamic bargaining system based on machine learning is presented in this dissertation.

本文针对已有议价模型缺乏学习机制的不足之处，提出了改进的基于机器学习的动态议价模型。

Support vector machine SVM baaed on the structural risk minimization of statistical learning theory in a method of machine learning for small sample .

基于统计学习理论中结构风险最小化原则的支持向量机是易于小样本的机器学习方法。

" Data Migration Learning" in 2009 book, pattern recognition and machine learning fields to essential new book, I believe this is the latest in this field, one of the best books.

详细说明：《数据迁移学习》09年新书，模式识别与机器学习领域的人必备的新书，相信这是本领域最新最好的书籍之一。

By using a tree pictorial structure model to represent the detuned generic people in the video, and a modified Hidden Markov Model to simulate the motion of people between the two frames of the video, a machine learning method is used to the modified HMM to obtain the estimation of parameter of the modified HMM,and to capture the people model from the video.

利用片图模型表示未经学习的人体，改进的隐马尔可夫模型模拟人体在视频序列各帧间的运动，并使用机器学习方法对该改进的HMM进行推理，获取改进HMM的参数，从而获得所需的人体模型。

In this dissertation, we adopted a new machine learning method-score matching and get a group of parameters of high-order MRF models by learning from training image data.

针对这些不足，提出一种新的机器学习方法一评分匹配法，从训练图像数据中学习得到一组高阶Markov随机场模型参数。

The absorption and distribution of chromium were studied in ryeusing nutrient culture technique and pot experiment.

采用不同浓度K2CrO4(0，0.4，0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗，测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

By analyzing theory foundation of mathematical morphology in the digital image processing, researching morphology arithmetic of the binary Image, discussing two basic forms for the least structure element: dilation and erosion.

通过分析数学形态学在图像中的理论基础，研究二值图像的形态分析算法，探讨最小结构元素的两种基本形态：膨胀和腐蚀；分析了数学形态学复杂算法的基本原理，把数学形态学的部分并行处理理念引入到家实际应用中。