The target variable is a binary variable (Yes or No) that represents if the country has had at least one attempt of coup d'etat in a specific year. My question is: what are the best classification models for multi-level data? From consulting different sources, I've wrote down these mode...
Multiclass Classification 之前讨论的都是2个类别的分类问题,但是大部分其实都不是布尔分类,如何使用逻辑回归 (logistic regression) 来解决多类别分类问题是通过一个叫做"一对多" (one-vs-all)或者一对余 (one-vs-rest)的分类算法来实现的 其原理很简单也很弱智,可以将数据集一分为二,为正类和负类,用一对多的...
multi-level数据的机器学习分类算法 machine-learning 我正在进行一个机器学习项目,我的数据集包含了从1960年到2022年218个国家的社会、人口和经济方面的变量。目标变量是一个二元变量(是或否),表示该国在特定年份是否至少发生过一次政变。我的问题是:multi-level数据的最佳分类模型是什么? 通过咨询不同的来源,我写下...
If this is the case, is every sequence of trees for individual classifiers the same or completely different? machine-learning multiclass-classification catboost Share Improve this question Follow edited Sep 29, 2023 at 21:16 desertnaut 59.8k2929 gold badges149149 silver badges170170 bronze badge...
function [J, grad] = lrCostFunction(theta, X, y, lambda) % Initialize some useful values m = length(y); % number of training examples J = 0; grad = zeros(size(theta)); n1 = length(theta); % X size: m * (n+1), theta size: (n+1) * 1, h size: m * 1 ...
Fig. 8. A general scheme of the multiclass classification-based FDD methods. 4.1.1.1 Support vector machine -based methods Support vector machine (SVM) is based on the structural risk minimization principle rooted in the statistical learning theory [62]. Fig. 9 shows a simple illustration of ...
Related task:常规思路(自动驾驶+路标识别;query classification+web search;坐标预测+物体识别;duration+frequency) Adversarial:在domain adaption,相关的任务可能无法获取,可以使用对抗任务作为negative task(最大化training error),比如辅助任务为预测输入的d...
Furthermore, the multi-class segmentation output can be used as input to classification models that can be trained to make predictions at whole-slide image-level, with possible applications to grading of polyps and biopsies. Kather et al.9 was one of the first who used patch classification to...
目前比较火的是learning what to share(outperform hard parameter sharing);还有就是对任务层级进行学习在任务具有多粒度因素时也是有用的。 Auxiliary task 我们只关注主任务目标,但是希望从其他有效的辅助任务中获利! 目前选择一些辅助任务方法 Related task:常规思路(自动驾驶+路标识别; query classification+web searc...
Exhaustive simulations at the single item level of the inventory system would directly solve this issue by searching for the best re-order policy per item, thus achieving the subsequent optimal classification without resorting to any multi-criteria classification method. However, this would be very ...