machine-learning statistics topology linear-algebra mathematics category-theory graph-theory algebraic-topology homotopy-theory differential-geometry combinatorics group-theory probability-theory manifolds module-theory ring-theory simplicial-sets dendroidal-sets Updated Oct 17, 2024 TeX l...
Calculus 1/2 → Calculus 2/3 Linear Algebra, Differential Equations Statistics → Probability Intro to Microeconomics → Intermediate Microeconomics Financial Accounting → Managerial Accounting ECON+ACCT → Finance Intro to Computer Programming → Data Structures,Discrete Structures 在及时完成的同时,这些基础...
From linear regression towards neural networks... Contribute to aromanro/MachineLearning development by creating an account on GitHub.
Details: supervised learning大体可分为两类——Regression Problem&Classification,这也是很经典的两类问题。 【Regression Problem(回归问题)】:预测连续型的输出值 【Classification(分类问题)】:预测离散的输出值(即有限个数的输出值) 也许,这样来说还不太助于理解,那我就附上图片来说明吧~首先还是放上上一节中...
用于线性二元分类和回归的随机双坐标上升 (SDCA) 优化训练器。rxFastLinear 是基于随机双坐标上升 (SDCA) 方法的训练器,这是一种用于凸目标函数的先进的优化技术。 由于支持多线程的半异步实现,该算法可进行缩放以用于内存不足的大型数据集。原始更新和双重更新都在一个单独的线程中进行。 此外还有多种损失函数可供...
用于线性二元分类和回归的随机双坐标上升 (SDCA) 优化训练器。详细信息rx_fast_linear 是基于随机双坐标上升 (SDCA) 方法的训练器,这是一种用于凸目标函数的先进的优化技术。 由于支持多线程的半异步实现,该算法可进行缩放以用于内存不足的大型数据集。通过在单独的线程中定期强制执行原始更新和双重更新之间的同步来...
A non-linear camera calibration with modified teaching-learning-based optimization algorithm 来自 Semantic Scholar 喜欢 0 阅读量: 59 作者:B Zhang,Y Hua,S Yang 摘要: In this paper, we put forward a novel approach based on hierarchical teaching-and-learning-based optimization (HTLBO) algorithm ...
This paper investigates the application of linear learning techniques to the place recognition problem. We present two learning methods, a supervised change prediction technique based on linear regression and an unsupervised change removal technique based on principal component analysis, and investigate how...
Linear-complexity Visual Sequence Learning with Gated Linear Attention Bencheng Liao1,2,Xinggang Wang2 📧,Lianghui Zhu2,Qian Zhang3,Chang Huang3, 1Institute of Artificial Intelligence, HUST,2School of EIC, HUST,3Horizon Robotics (📧) corresponding author. ...
We present a neural network-based method for solving linear and nonlinear partial differential equations , by combining the ideas of extreme learning machines (ELM), domain decomposition and local neural networks. The field solution on each sub-domain is represented by a local feed-forward neural ...