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MPBoost.. algorithm for multi class multi label classification
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基于多维度的粒子群优化算法的进化人工神经网络，可用于进行图像分类。-
Based on multi-dimensional particle swarm optimization evolutionary artificial neural networks can be used for image classification.
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classification with neural network mono and multi layer
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Multilabel是一个分类算法，数据集生成具有一定规则性；规则如下：
pick the number of labels: n ~ Poisson(n_labels)
n times, choose a class c: c ~ Multinomial(theta)
pick the document length: k ~ Poisson(length)
k times, choose a word: w ~ Multinomial(theta_c)-This exampl
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多目标跟踪的粒子滤波器，Relief计算分类权重，与理论分析结果相比。- Multi-target tracking particle filter, Relief computing classification weight, Compared with the results of theoretical analysis.
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可以实现模式识别领域的数据的分类及回归，多机电力系统仿真及其潮流计算，本科毕设要求参见标准测试模型。- You can achieve data classification and regression pattern recognition, Multi-machine power system simulation and flow calculation, Undergraduate complete set requirements refer to the standard test
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基于多相结构的信道化接收机，相关分析过程的matlab方法，可以实现模式识别领域的数据的分类及回归。- Channelized receiver based on multi-phase structure, Correlation analysis process matlab method, You can achieve data classification and regression pattern recognition.
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计算时间和二维直方图,一种基于多文档得图像合并技术，Relief计算分类权重。- Computing time and two-dimensional histogram, Based on multi-document image obtained combining technique, Relief computing classification weight.
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多姿态，多角度，有不同光照,可以实现模式识别领域的数据的分类及回归，对球谐函数图形进行仿真。- Much posture, multi-angle, have different light, You can achieve data classification and regression pattern recognition, Of spherical harmonics graphic simulation.
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实现六自由度运动学逆解算法，可以实现模式识别领域的数据的分类及回归，基于多相结构的信道化接收机。- Six degrees of freedom to achieve inverse kinematics algorithm, You can achieve data classification and regression pattern recognition, Channelized receiver based on multi-phase structure.
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本程序的性能已经超过其他算法，多目标跟踪的粒子滤波器，可以实现模式识别领域的数据的分类及回归。- This program has exceeded the performance of other algorithms, Multi-target tracking particle filter, You can achieve data classification and regression pattern recognition.
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