搜索资源列表
adaboost
- 一个强大的自适应boosting算法，十分经典，matlab实现，绝对超值，可以改编成其它语言。-A powerful adaptive boosting algorithm, very classic, matlab realize, absolute value, and can be adapted to other languages .
boost
- MP-Boost: A Multiple-Pivot Boosting Algorithm and Its Application to Text Categorization
BOOST_HALF_BRIDGE_500W_300Vo
- matlab仿真的boost升压电路，应用于光伏发电逆变并网中。-The boost circuit, boosting circuit is applied to the simulation model of photovoltaic power generation in the.
boosting_demo
- 基于matlab的boosting demo代码的实现-Based on the matlab code to achieve boosting demo
icsiboost-64bit-static-r160
- icsiboost: tool for boosting-based classification
AdaBoostToolbox
- 自适应增强算法的工具箱，包含了几种常用的弱分类器，自带图形界面，简单易懂。-Adaptive boosting algorithm toolbox contains several common weak classifiers, comes with a graphical interface, easy to understand.
BoostingTracker_Source_v03
- 在线boost算法，来自文章On-line Boosting and Vision-boost tracker from paper:: On-line Boosting and Vision
ky3
- voltage-boosting converter, named as KY converter, was proposed, which provides low output voltage ripple and is very suitable for supplying power to devices that must operate under low-ripple conditions.
gbdt.tar
- gradient boosting decision tree 随机梯度下降法boosting 的 决策树。 阿里称为treelink 算法-gradient boosting decision tree gbdt
Boosting
- 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope will be helpful
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
erXover
- Contrary to bagging, boosting dynamica lly tries to gen-erate comple mentary lea rners by training the next lea rner on the inaccuracies of the learner in the preceding iteration.
boost
- boosting for dsp signal processing
adaboost
- AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的
OpenCVAdaboost__
- 目前支持这种分类器的boosting技术有四种： Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost。-Currently support this classifier boosting technology, there are four: Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost.
MTBoost1
- Duchi and Singer [24] proposed a boosting method for multi-class classification problems by utilizing the structural sparsity of model parameters. They claimed that the method can be generalized for multi-task learning.
boost
- Processor boosting control for Linux v2.13.6.
Boosting
- 用c++写的adaboost算法实现过程，详细介绍了算法的步骤-Step using c++ to write the adaboost algorithm implementation process, detailing the algorithm
adaboost_PY
- 做机器学习的同学都知道最具代表性的是AdaBoost算法（Adaptive Boosting Algorithm），这个是用Python实现的。希望能有帮助。-The well known AdaBoost algorithm (Adaptive Boosting Algorithm). Here is the Python version. Hope it helps.
pkupr
- 模式识别 北京大学 本科生课程 课件 （包括贝叶斯模型、最近邻、SVM、线性与非线性分类器、boosting、统计学习、非监督学习等）-Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised