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CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance represen ...

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox

sukumar N.写的报告Enriched Natural Neighbor Interpolants for Two-Dimensional Crack Modeling

FIC8120 方案 Multi-ICE

These instances, whenmapped to an N-dimensional space, represent a core set that can be used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning problem on these core sets can produce a good approximation solution in very fast speed. For example, the core-vector machin ...

Multi-Agent采购系统的遗传优化研究

第13讲 智能Agent及多Agent系统 Chapter 13 Intelligent Agent & Multi-Agent Systems 徐从富 浙江大学人工智能研究所

SOLVE THE HELMHOLTZ EQUATION ON AN ARBITRARY BOUNDED 3 DIMENSIONAL REGION

Multi-Digital Down Converter design.

multi_wavelet An Image Digital Watermarking Algorithm Based on Bit-Plane-Decomposition and Multi-Resolution-Decomposition