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• W84121895 abstract "We present AKDDE, an adaptive kernel diverse density estimate scheme for multiple instance learning. AKDDE revises the definition of diverse density as the kernel density estimate of diverse positive bags. We show that the AKDDE is inversely proportional to the least bound that contains at least one instance from each positive bag. In order to incorporate the influence of negative bags an objective function is constructed as the difference between the AKDDE of positive bags and the kernel density estimate of negative ones. This scheme is simple in concept and has better properties than other MIL methods. We validate AKDDE on both synthetic and real-world benchmark MIL datasets." @default.
• W84121895 created "2016-06-24" @default.
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• W84121895 date "2011-01-01" @default.
• W84121895 modified "2023-09-26" @default.
• W84121895 title "Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning" @default.
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• W84121895 doi "https://doi.org/10.1007/978-3-642-23199-5_14" @default.
• W84121895 hasPublicationYear "2011" @default.
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