fuzzy set theory; learning (artificial intelligence); mathematical operators; mathematics computing; vectors; Choquet integral; aggregation operators; function values; fuzzy measure; generator function; lsub1/sub-norm based sparsity learning; lsub1/sub-norm regularization; lexicographically encoded capacity vector; parametric function; simultaneous model error model complexity minimization; smallest possible sum of squared error; trained model; Complexity theory; Computers; Indexes; Mathematical model; Minimization; Pattern recognition; Quadratic programming; Choquet integral; capacity learning; fuzzy integral; linf1/inf-norm regularization; model complexity;
机译:基于ℓ
机译:<![CDATA [缩回:MWCNTS的合成和电化学表征 - 改进LI
机译:DFT计算基于对Fe
机译:基于L
机译:基于Choquet积分的模糊分子表征:根据原子/键贡献(LOVIs / LOEIs)之间的依赖性计算全局定义时
机译:基于L1-范数的稀疏性学习和表征的Choquet积分的字典编法容量向量