Deep Learning

Deep learning is a set of algorithms in machine learning that attempt to learn layered models of inputs, commonly neural networks. The layers in such models correspond to distinct levels of concepts, where higher-level concepts are defined from lower-level ones, and the same lower-level concepts can help to define many higher-level concepts Deep learning is just a buzzword for neural …

[2012] A hybrid feature selection for fault prediction

Software fault prediction plays a vital role in software quality assurance. Identifying the faulty modules helps to better concentrate on those modules and helps improve the quality of the software. With increasing complexity of software nowadays feature selection is important to remove the redundant, irrelevant and erroneous data from the dataset. In general, Feature selection is done mainly based on …

Filter- versus Wrapper-based Feature Selection For credit scoring

We address the problem of credit scoring as a classification and feature subset selection problem. Based on the current framework of sophisticated feature selection methods, we identify features that contain the most relevant information to distinguish good loan payers from bad loan payers. The feature selection methods are validated on several real world datasets with different types of classifiers. We …

ER diagram

Giới thiệu 1) Giai đoạn thiết kế cơ sở dữ liệu: Thiết kế Khái niệm tạo ra sơ đồ ER mức khái niệm. Mục tiêu của nó là để đại diện cho thế giới thực bằng cách sử dụng mô hình ER. Trong giai đoạn thiết kế này, các nhà thiết kế (mô hình) nên tập trung vào việc nắm …

Tổng hợp sách ASP.NET

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