Maximum entropy method for nonlinear l1 problem 1问题的极大熵方法
Maximum entropy method for linear programming with bounded variables 变量有界线性规划的极大熵方法
Maximum entropy method and quadratic programming sub - problem ' s explicit solution 极大熵方法与二次规划子问题的显式解
In this thesis the basic principle of maximum entropy method ( mem ) and its applications in image restoration are thoroughly discussed 最大熵方法是一种非线性的图像恢复方法,过去的研究主要围绕天文图像的处理而进行。
A context - dependent polyphone disambiguation technology was proposed , combined with the decision tree and maximum entropy methods , the accuracy can be improved to 99 . 82 % 采取结合上下文信息及语法信息的多音字消歧技术,利用决策树和最大熵等模式识别方法,使注音正确率达到99 . 82 % 。