[机器学习] Graph-Based Semi-Supervised Learning

说明： While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabele
<giscl> 上传 | 大小：1mb

[机器学习] Theory of Active Learning

说明： Active learning is a protocol for supervised machine learning, in which a learning algorithm sequentially requests the labels of selected data points from a large pool of unlabeled data. This contrasts with passive learning, where the labeled data a
<giscl> 上传 | 大小：1mb

[机器学习] Generalized Low Rank Models

说明： Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other
<giscl> 上传 | 大小：2mb

[深度学习] Bayesian Reinforcement Learning A Survey

说明： Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. In this survey, we provide an in-depth review of the role of Bayesian methods for the rei
<giscl> 上传 | 大小：1mb

[机器学习] Metric Learning A Survey

说明： The metric learning problem is concerned with learning a distance function tuned to a particular task, and has been shown to be useful when used in conjunction with nearest-neighbor methods and other techniques that rely on distances or similarities
<giscl> 上传 | 大小：1mb

[机器学习] Particle Filters for Robot Navigation

说明： Autonomous navigation is an essential capability for mobile robots. In order to operate robustly, a robot needs to know what the environment looks like, where it is in its environment, and how to navigate in it. This work summarizes approaches that
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[机器学习] 机器学习-线性回归

说明： 包含机器学习中的线性回归，包含了最佳拟合线性回顾，局部加权线性回归，岭回归以及前向逐步线性回归等算法的数据集以及代码实现。
<pcb931126> 上传 | 大小：27mb

[机器学习] stm32的硬件I2C时钟计算工具

说明： stm32，硬件I2C时钟精确计算工具，包括时钟上升时间、下降时间、时钟频率等等，本人在stm32f072，stm32h743上使用过。
<niu_88> 上传 | 大小：516kb

[机器学习] stm32的USB虚拟串口电脑端驱动

说明： stm32的USB虚拟串口电脑端驱动，stmcdc.inf，设备管理器可点击安装*.inf文件。文件内可更改串口设备驱动描述符等等。已测试通过。 各位拿去使用。
<niu_88> 上传 | 大小：154kb

[机器学习] stm32F7 _Cache_MPU

说明： stm32f7系列的MPU、Cache详细介绍，最后并附带例程，很容易理解。
<niu_88> 上传 | 大小：531kb

[深度学习] LFW最全指南

说明： 这应该是史上最全的LFW数据集了，我在里面整理了所有关于LFW的东西，比如mat文件，两种读取LFW数据的方法，还有标点的方法，正对ttx，负对txt，路径读取txt等，欢迎下载。
<weixin_41031938> 上传 | 大小：195mb

[深度学习] CMU_PIE_Face

说明： 内含CMU_PIE人脸数据集，来自68个人的40000张照片，其中包括了每个人的13种姿态条件，43种光照条件和4种表情下的照片。共有5种pose，用于训练测试，亲测不错
<weixin_41031938> 上传 | 大小：19mb