A glance at structural classifiers and their applications
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 734
فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
BPJ02_188
تاریخ نمایه سازی: 11 آبان 1395
چکیده مقاله:
Machine learning is an important field in computer science which explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms build a model from example inputs and make data-driven predictions or decisions. Knowledge engineers built hundreds of expert systems which enjoy these kind of AI algorithms and are used in industry. this paper briefly explains and surveys the application of some famous machine learning algorithms such as decision tree, AdaBoost decision trees, neural Networks and k-Nearest Neighbors in real life and industry applications like educational systems, making credit decisions, bankruptcy,etc.
کلیدواژه ها:
Machine learning ، decision tree ، AdaBoost decision trees ، neural Networks and k-Nearest neighbors
نویسندگان
Neda Hajiakhoond Bidoki
Department of Computer Engineering, Sharif University of Technology,
Masoud Baghbahari Baghdadabad
Department of Electrical Engineering, Sharif University of Technology,