资源列表
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
Max-Margin-Semi-NMF
- 在NMF中使用SVM的最大边缘思想，提高分类效果。它是有监督的，局限在于2类，当然使用SVM的多类，就会解决该问题。-The resulting basis matrix is used to extract features that maximize the margin of the resulting classifier
Maximum-Margin-Embedding
- 该算法是无监督的，贡献很大。很难得解决了最大边缘的不需要依赖标签信息，就能获得最大边缘的超平面映射-projecting data samples into the most discriminative subspace, where clusters are most well-separated。
46550376psoTRAINbp
- 46550376psoTRAINbp fdgfhf
Orthogonal-laplacianfaces
- 提出的正交LPP具有的优良特性是：能够较好的重构数据，并包含较好的判别能力-The orthogonal locality preserving projection (OLPP) method produces orthogonal basis functions and can have more locality preserving power than LPP. Since the locality preserving power is potentially relat
Recipes-for-Mining-Twitter
- 互联网海量数据的数据挖掘，使用python编写算法-data ming
bpexample1
- bp神经网络案例一语音特征信号分类.matlab神经网络工具箱-one of bp examples
matlabbpexp1
- matlab的bp神经网络工具箱，bp神经网络案例之一，非线性拟合y=x21+x-one of a bp examples
91
- Good doc for pso particul swarm optimisation
c1
- 智能信息处理基本概念，模糊逻辑控制，以及模糊模型的ppt-The basic concept of intelligent information processing, fuzzy logic control, and fuzzy ppt model
c2
- 人工神经网络，机器学习，以及混沌神经网络的ppt-Artificial neural networks, machine learning, and chaotic neural network based on ppt
c3
- 智能信息处理中的粗集信息处理以及粗糙集应用的ppt-Intelligent information processing in rough set information processing and the application of rough sets to ppt