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In this paper, we propose a multi-class learning method of multiconlitron by using a hybrid binary tree architecture.
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In this paper, a novel watermarking scheme is proposed by embedding a binary watermark into gray-scale images using a hybrid GA-BPN intelligent network.
Sample size determination for a binary response in a superiority clinical trial using a hybrid classical and Bayesian procedure.
The MIPC is obtained using an hybrid Model Predictive Control (MPC) approach and a parametrization of the binary variables.
As a result, a hybrid binary partition tree is created which represents a hierarchical division of given classes.
Khalili-Damghani and Amiri (2012) used a hybrid efcient epsilon-constraint, multi-start partial bound enumeration algorithm to solve a binary-state multi-objective reliability redundancy allocation series parallel problem.
In Japan, they use a hybrid approach.
Our collector, MCC, uses a hybrid approach.
The best way to produce a hybrid is to use a hybrid organizational approach.
Illinois has, so far, used a hybrid approach.
You can use a hybrid without building a separate infrastructure.
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