Burrey的博客

mixed quadratic and cubic polynomial interpolation and extrapolation method 混合⼆次、三次多项式内插、外插法 multiobjective。cubic smoothing spline 三次平滑样条 cubic spline。linear model 线性模型 linear regression。最⼩⼆乘估计 least-square method 最⼩⼆乘法。拟合优度检验 test of homogeneity ⻬性检验。

美赛2021Co奖论文读后感

Writing Style AnalysisThe accuracy of word choice and sentence structure in this mathematical modeling paper is commendable. The team have effectively utilized precise terminology and concise language to convey their ideas and findings. The following are s

Unconsciously, this is the last post-reading feeling of the O Prize paper. In the first four post-reading feelings, our group focused on the writing of each part of the paper, the connection between paragraphs, and the description of the model. Here I want

After reviewing c2002116, I must say that the writing style and language used in the paper are highly accurate and precise. The team have effectively conveyed their ideas and concepts related to the CE-VADER model for sentiment analysis in review texts.C20

It was divided three parts, problem background, clarification and restatement and our work. In the chapter on the problem background, I noticed that it not only mentioned the background of the problem, but also mentioned the literature review of solving th

美赛重在创新和发散性思维，有很多自由发挥的空间，一般不存在标准答案，且一般是很多科研人员正在研究的热点问题，需要我们查阅大量的文献且在前人的模型上进行创新与改进，通常建模过程都不会很复杂，且outstanding论文的共同点在于其较为创新且论文的写作较为准确严谨，要能够自圆其说。除此之外，美赛相比国赛对于数据处理的能力要求更高，其中，C题与kaggle有一定的相似之处，有些题目很少能够给出现成数据，大多数据都是要靠网上搜索得到，并 且常常需要爬虫之类的技巧。针对模型的假设，必须要对假设进行解释。

决策树（Decision Tree），随机森林（Random forest），SVM支持向量机（Support Vector Machine），xgboost分类，神经网络分类Neural network classification），层次聚类（hierarchical clustering），Density-Based Spatial Clustering of Applications with Noise（DBSCAN密度聚类）（Recurrent Neural Network循环神经网络）

总体表述研究问题和解决方法本文的原创性（两条）