A glance at structural classifiers and their applications

سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 734

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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,