搜索资源列表
GABook1
- 遗传算法书籍：遗传算法的数学基础，从数学的角度论证遗传算法的有效性-Genetic Algorithm Books: The mathematical basis of genetic algorithm, from the perspective of mathematical proof of the effectiveness of genetic algorithm
face
- 对人脸的角度进行识别，主要作用于两眼之间的距离-The perspective of human face recognition, a major role in the distance between the eyes
Image_Feature_Selection_Method_Based_on_Immune_Enc
- 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分 子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免
A-Performance-Perspective
- 数据挖掘中的举个中澳算法，分类，聚类，bayesian等。-A Performance Perspective of data mining.Give a full instruction of some key algorithm.
Pattern-Recognition
- 模式识别与机器学习，主要从算法与原理的角度来讲述-Pattern recognition and machine learning, mainly from the perspective of algorithm and theory about
Data-Mining-Concepts-and-Techniques
- 介绍什么是数据挖掘，什么是数据库中知识发现。书中的材料从数据库角度 提供，特别强调发现隐藏在大型数据集中有趣数据模式的数据挖掘基本概念和技术。所讨论的实现 方法主要面向可规模化的、有效的数据挖掘工具开发。 除学习数据挖掘系统的分类之外，你将看到建立未来的数据挖掘工具所面临的挑战性问题-Introduction What is data mining, knowledge of what is found in the database. The book provides the m
metric-learning_survey_v2
- 关于metric learning的综述，涉及到许多的知识：SVM、kernel、SDP等-This paper surveys the field of distance metric learning from a principle perspective, and includes a broad selection of recent work. In particular, distance metric learning is reviewed under different
EM-vs-MCMC
- 一篇关于EM算法与MCMC算法的介绍与区别的论文。-EM VS MCMC for estimation of hidden markov modesl: A computational perspective. Copyright by Tobias Ryden
Philosophy-of-AI
- 从哲学的角度看待人工智能问题，提出了对AI算法的哲学看法以及对AI的发展方向的展望。AI哲学是与心灵哲学、语言哲学和认识论紧密相连的一门智能科学。-Look at the problem from the perspective of philosophy of artificial intelligence, presented the philosophical views of AI algorithms and prospects for the development of AI s
Statistics
- 统计学习方法，站在数学的角度分析机器学习、人工智能算法-Statistical learning methods, from the perspective of mathematical analysis of machine learning, artificial intelligence algorithms
MLAPP
- 基于概率论的角度分析机器学习算法,适合人工智能、机器学习相关从业人员-Analysis of machine learning algorithms based on probability theory perspective
Optimization-design-experiment2
- 从数控机床能耗角度出发，以切削参数为变量，以降低数控机床能耗为目标，在实际加工经验公式的基础上，考虑机床性能和刀具约束条件，建立数控机床能耗模型，采用粒子群优化算法对目标函数寻优求解，利用优化后的切削参数进行加工，能明显地降低能耗。-From the perspective of CNC machine tool consumption to cutting parameters as variables , in order to reduce the energy consumption o
game-theory
- We consider the scheduling of simple linear deteriorating jobs on parallel machines a new perspective based on game theory. In scheduling, jobs are often controlled by independent and selfish agents, in which each agent tries to a machine for process
Machine-Learning
- Machine Learning: A Probabilistic Perspective.2012年才出的一本机器学习好书-Machine Learning: A Probabilistic Perspective.A good book just published in 2012.
dataandprocess
- 当需要从定量的角度分析和研究一个实际问题时，人们就要在深入调查研究、了解对象信息、作出简化假设、分析内在规律等工作的基础上，用数学的符号和语言作表述来建立数学模型(When you need a real problem from the perspective of quantitative research and analysis, people will be in the thorough investigation and study, understand the object i
Machine Learning in Action
- 机器学习重点推荐点推荐，学习必杀技点推荐，学习必杀技(machine leaing a probabilistic perspective)
Machine learning an algorithmic perspective
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能(Machine learning (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
Machine learning A Probabilistic Perspective
- 经典教学书籍<Machine learning A Probabilistic Perspective>(book <Machine learning A Probabilistic Perspective>)