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Chapter and Conference Paper
A Modified Genetic Algorithm for Agricultural By-products Logistics Delivery Route Planning Problem
Agricultural by-products collection and delivery route planning is one of the important issues of delivery scheduling optimization for agricultural regional logistics. Aimed at agricultural by-products logist...
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Chapter and Conference Paper
Smooth Multi-instance Learning for Object Detection
The problem of object localization is one of the key problems in computer vision applications. Recently, multiple-instance learning (MIL) is a kind of machine learning framework which receiving a set of insta...
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Chapter and Conference Paper
TNT: An Effective Method for Finding Correlations Between Two Continuous Variables
Determining whether two continuous variables are relevant, either linearly or non-linearly correlated, is a fundamental problem in data science. To test whether two continuous variables have a linear correlati...
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Chapter and Conference Paper
Feature Selection Based on Graph Structure
Feature selection is an important part of data preprocessing. Selecting effective feature subsets can effectively reduce feature redundancy and reduce irrelevant features, and reduce training costs. Based on t...