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[
Other resource
]
A Java implementation of SMO for training SVM
DL : 0
支持向量机的实现源代码! java实现!采用最小序贯算法-SVM achieve source code! Java achieve! Use the smallest sequential algorithm
Update
: 2008-10-13
Size
: 35.7kb
Publisher
:
张翠
[
AI-NN-PR
]
A Java implementation of SMO for training SVM
DL : 0
支持向量机的实现源代码! java实现!采用最小序贯算法-SVM achieve source code! Java achieve! Use the smallest sequential algorithm
Update
: 2025-02-17
Size
: 35kb
Publisher
:
张翠
[
Crack Hack
]
thexcs_src
DL : 0
Tiger Tree Hash is constructed from two parts, the Tiger Hash Algorithm and Merkle Tree. The original Tiger Hash code was taken from Tiger.Net which is written in Visual Basic. NET. Tiger Tree Hash算法的C#实现! -Tiger Tree Hash is constructed from two par ts. the Tiger Hash Algorithm and Merkle Tree. The or iginal Tiger Hash code was taken from Tiger.Net which is written in Visual Basic.NET. Tiger Tre e Hash Algorithm Implementation of C#!
Update
: 2025-02-17
Size
: 47kb
Publisher
:
成东
[
Windows Develop
]
sequential-pattern-mining-algorithm-based-on-Prefi
DL : 0
数据挖掘领域一个活跃的研究分支就是序列模式的发现,上传一个prefixspan算法-The field of data mining of an active research branch is the sequential pattern discovery algorithm to upload a PrefixSpan
Update
: 2025-02-17
Size
: 119kb
Publisher
:
闻晞
[
Mathimatics-Numerical algorithms
]
gsp
DL : 0
基于候选产生 测试的序列模式挖掘算法,gsp使用序列模式的向下封闭性,采用多次扫描的候选产生测试方法。-Have a test based on a candidate sequential pattern mining algorithm, gsp down the use of closed sequential patterns, and the use of multiple scan generated candidate testing methods.
Update
: 2025-02-17
Size
: 15kb
Publisher
:
tian
[
Windows Develop
]
dye-local-search
DL : 0
Local search. Algorithm that explores the space of possible solutions in sequential fashion, moving from a current solution to a "nearby" one. Neighbor relation. Let S S be a neighbor relation for the problem. Gradient descent. Let S denote current solution. If there is a neighbor S of S with strictly lower cost, replace S with the neighbor whose cost is as small as possible. Otherwise, terminate the algorithm-Local search. Algorithm that explores the space of possible solutions in sequential fashion, moving from a current solution to a nearby one.Neighbor relation. Let S
Update
: 2025-02-17
Size
: 204kb
Publisher
:
supercat188
[
Windows Develop
]
PrefixSpan
DL : 0
GenPrefixSpan算法源码,在PrefixSpan基础上增加了gap限制-GenPrefixSpan algorithm source code, in PrefixSpan based on an increase of gap limit
Update
: 2025-02-17
Size
: 623kb
Publisher
:
张中举
[
Other
]
Snake-application
DL : 0
利用图像区域的局部梯度信息,同时利用序列图像之间局部区域的全局信息及其相关性重 新构造外部能量函数 并根据内外部能量的比值,动态地调节权值参数. 实验结果表明,改 进算法既可以有效地检测出一些拐角点和凹点,又可以避免目标边缘收敛于某些噪声点 或伪边缘点,可达到良好的体分割效果.-Use of local image gradient information region, while the use of sequential images of the overall situation between the local area information and its relevance to re-structure the external energy function and in accordance with the ratio of internal and external energy, the right to adjust the value of dynamic parameters. Experimental results show that the improved algorithm not only can be effectively detected in a number of corner points and concave point, and prevent the goal of the edge of convergence in certain noise or pseudo-edge point, the body can achieve good segmentation results.
Update
: 2025-02-17
Size
: 1.46mb
Publisher
:
小王
[
Mathimatics-Numerical algorithms
]
Talg_det
DL : 0
The real-valued version of this priority first stack-based sequential decoding algorithm is based on a decoding tree of m+1 levels where each node has 2*xMax children-The real-valued version of this priority first stack-based sequential decoding algorithm is based on a decoding tree of m+1 levels where each node has 2*xMax children
Update
: 2025-02-17
Size
: 2kb
Publisher
:
phares
[
AI-NN-PR
]
svm_smo
DL : 0
支持向量机(svm)的 序列最小优化算法(sequential minimal optimization) 的大量论文资料!该算法可用来开发svm的并行算法!-Support vector machine (svm) of the sequential minimal optimization algorithm (sequential minimal optimization) information on a large number of papers! The algorithm can be used to develop a parallel algorithm for svm!
Update
: 2025-02-17
Size
: 9.89mb
Publisher
:
lujia
[
Special Effects
]
Image_matching-SSDA
DL : 0
VC++ 基于序贯相似性算法SSDA的图像匹配识别定位程序、测试图片及源代码-VC++ based on the similarity of sequential image matching recognition algorithm SSDA positioning procedure, test images and source code
Update
: 2025-02-17
Size
: 3.38mb
Publisher
:
华铭
[
matlab
]
SER_LMS
DL : 0
SER(序贯回归算法)和LMS(最小均方算法)的matlab仿真及对比-SER (Sequential regression algorithm) and the LMS (least mean square) of matlab simulation and comparison
Update
: 2025-02-17
Size
: 1kb
Publisher
:
小红
[
matlab
]
reval
DL : 0
Euclidean Distance Transform has been widely studied in computational geometry, image processing, computer graphics and pattern recognition. Euclidean distance has been computed through different algorithms like parallel, linear time algorithms etc. On the basis of efficiency, accuracy and numerical computations, existing and proposed techniques has been compared. This study proposed a new technique of finding Euclidian distance using sequential algorithm. An experimental evaluation has shown that proposed technique has reduced the drawbacks of existing techniques. And the use of sequential algorithm scans has reduced the computational cost.
Update
: 2025-02-17
Size
: 99kb
Publisher
:
yasora
[
Software Engineering
]
PrefixSpan-algorithm
DL : 1
序列模式挖掘是数据挖掘的一个重要分支,在序列事务及;有关信息处理中有着广泛的应用,如顾客购物习惯、web访问模式、科学实验过程分析、自然灾害预测、疾病治疗、药物检验以及{ sizej pos; DNA等。序列模式挖掘算法有AprioriAll、GsP、F’reeSpan、本文将设计与实现针对string数据类型的算法,来对序列模式挖掘有更深入的剖析。-Sequence pattern mining is an important branch of data mining, and in the sequence matters the information processing has a wide range of applications, such as customer shopping habits, web access mode, the process of scientific experiments, natural disaster prediction, disease treatment, drug testing, and { sizej pos DNA and so on. Sequential pattern mining algorithm AprioriAll, GsP, F' reeSpan, this paper design and implementation of algorithms for string data types, to sequence pattern mining on a more in-depth analysis.
Update
: 2025-02-17
Size
: 282kb
Publisher
:
谢亚妮
[
matlab
]
Particle-Filtering-Algorithm
DL : 0
Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.
Update
: 2025-02-17
Size
: 1.28mb
Publisher
:
tuzi
[
Software Engineering
]
007
DL : 0
A Fast Incremental Mining Algorithm of Sequential Patterns Based on Sequence Tr-A Fast Incremental Mining Algorithm of Sequential Patterns Based on Sequence Tree
Update
: 2025-02-17
Size
: 128kb
Publisher
:
al
[
Software Engineering
]
10.1.1.12.3538.pdf
DL : 0
Clospan : Fast Mining Algorithm of Sequential Patterns Based
Update
: 2025-02-17
Size
: 185kb
Publisher
:
al
[
Software Engineering
]
the-art-of-computer-program
DL : 0
谈谈我自己读这套书的心得。抛砖引玉。 首先要清楚这套书的定位:它是古典的算法分析的工具书。 1.古典(classic)体现在模型和问题上。 模型就是顺序算法(sequential algorithms)的经典模型。大名鼎鼎的MIX并非是个程序设计语言这么简单,而是一个计算模型:即标准指令集RAM。这是个非常经典,也是非常符合现实的上界(upper bounds)模型。 该书涉及到的问题是计算机科学诞生之初就自然面对-Talk about my own experiences reading this book. Start a discussion. First, to be clear positioning of this book: it is a classical algorithm analysis tool. 1. Classical (classic) embodied in the model and on the issue. Model is the classic model of sequential algorithms (sequential algorithms). The MIX famous is not simple as a programming language, but a calculation model: that is, the standard instruction set RAM. This is a very classic, is also very much in line with the reality of the upper bound (upper bounds) model. The book involves the natural face of the beginning of the birth of computer science
Update
: 2025-02-17
Size
: 26.69mb
Publisher
:
陈炜东
[
Data structs
]
sequential tables
DL : 0
编写一算法,实现两个顺序表的合并。(说明:将共同拥有的元素只存其一。)(Write an algorithm to achieve the merger of two sequential tables. (Description: only one of the shared elements is stored.))
Update
: 2025-02-17
Size
: 188kb
Publisher
:
嘉树
[
Mathimatics-Numerical algorithms
]
AprioriAll-Algorithm-master
DL : 0
To reduce the generation of candidate sequences and the scans to sequence database for AprioriAll algorithm, an efficient sequential pattern mining method based on improved AprioriAll algorithm is presented. Firstly, data are preprocessed. Then do the sequential pattern mining with improved AprioriAll algorithm. The improvements of AprioriAll algorithm are mainly two points: one is to change the connection of candidate sequences to reduce the generation of candidate sequences; the other is to reduce the needless database scans to improve the efficiency of algorithm. Finally, the efficiency and validity of improved AprioriAll algorithm is validated through experiments.
Update
: 2025-02-17
Size
: 817kb
Publisher
:
sensensen
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