کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402889 677025 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multi-instance ensemble learning model based on concept lattice
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A multi-instance ensemble learning model based on concept lattice
چکیده انگلیسی

This paper introduces concept lattice and ensemble learning technique into multi-instance learning, and proposes the multi-instance ensemble learning model based on concept lattice which can be applied to content-based image retrieval, etc. In this model, a ♢♢-concept lattice is built based on training set firstly. Because bags rather than instances in bags will serve as objects of formal context in the process of building ♢♢-concept lattice, the corresponding time complexity and space complexity can be effectively descend to a certain extent; Secondly, the multi-instance learning problem is divided into multiple local multi-instance learning problems based on ♢♢-concept lattice, and local target feature sets are found further in each local multi-instance learning problem. Finally, the whole training set can be classified almost correctly by ensemble of multiple local target feature sets. Through precise theorization and extensive experimentation, it proves that the method is effective. Conclusions of this paper not only help to understand multi-instance learning better from the prospective of concept lattice, but also provide a new theoretical basis for data analysis and processing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 24, Issue 8, December 2011, Pages 1203–1213
نویسندگان
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