1) heuristic optimization
启发式最优化算法
1.
The learning approach leads to a hard mixed integer program that can be solved iteratively in a heuristic optimization.
使用迭代的启发式最优化算法来解决多例学习中复杂的整型规划问题,以使分类风险最小化。
2) heuristic optimization algorithm
启发式优化算法
1.
A new heuristic optimization algorithm for solving the problem was presented.
提出了解决这类问题的新的启发式优化算法。
2.
As an important heuristic optimization algorithm, genetic algorithm (GA) has been widely applied in computer aided drug design (CADD).
作为一种重要的启发式优化算法 ,遗传算法在计算机辅助药物分子设计中得到了广泛的应用。
3) sequential optimization heuristic algorithm
顺序优化启发式算法
4) stochastic meta-heuristic algorithms
随机启发式优化算法
5) iterative heuristic optimization
启发式迭代优化算法
1.
In this paper,we proposed two unsupervised frameworks for clustering multi-instance objects based on Expectation Maximization(EM) approach and iterative heuristic optimization respectively.
分别在基于EM算法和启发式迭代优化算法的框架下,提出了6种非监督的多例聚类算法,并对web图像进行聚类以分析用户的搜索兴趣。
2.
However,two unsupervised frameworks for clustering multi-instance objects based on expectation maximization(EM) approach and iterative heuristic optimization are proposed respectively.
针对非监督学习,在基于EM算法和启发式迭代优化算法的框架下,提出了6种多例聚类算法,并通过它们对来自于真实Web环境下的图像进行聚类以分析用户的搜索兴趣。
6) a heuristic ant colonies optimization algorithm
启发式蚁群优化算法
补充资料:启发
①开导指点,使产生联想并有所领悟:启发式教学|这番话对我很有启发。②阐明;阐释:启发篇章,校理秘文。
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