| 1. | Once again we use a word to denote its equivalence class and write equality to express equivalence .
我们再一次用一个字来表示它所在的等价类，并用等号表示等价。 |
| 2. | The enumeration of equivalence class of 3 - nilpotent matrices
幂零矩阵的相似等价类的计数 |
| 3. | A completely characterization for chromatic equivalence classes of some dense graphs
一类稠密图的色等价完全刻画 |
| 4. | Conformal equivalence class
保形等价类 |
| 5. | Proof of theorem about the sequences ' period and translation equivalence class in the g
中序列的周期及平移等价类定理的证明 |
| 6. | The approach to classification based on the equivalence classes of the main attribute is as follows : ( 1 ) discretize the continuous training data
以某属性的等价类(相近类)组成的子集作为svm的训练集预分类的方法如下。 ( 1 )将连续性训练数据离散化。 |
| 7. | For example , a reasonably trained , reasonably motivated programmer can do a perfectly fine job finding boundary conditions and checking whether each known equivalence class is handled
例如，一个接受过一定培训、有一定积极性的程序员可以很好地找到边界条件，并且检查每一个等价类是否都处理了。 |
| 8. | The invariant ( v ( a ) , [ 1a ] ) that we used for unital case is the semigroup of murry - von neumann equivalence classes of projections in matrices over c * - algebras together with the class of the unit
我们用来分类的不变量( v ( a ) ， [ 1 _ a ] ) (有单位元的情况)是a的矩阵代数中所有投影的murry - vonneumann等价类所成的半群及单位元所在的等价类。 |
| 9. | The batch algorithm in this paper reduces the redundant computation in each node for generating its children by the presented definition of expansion - equivalence class , thereby improves the algorithm ? efficiency
而本文中批生成算法通过提出的扩展等价类这一概念来有效地减少了在每个节点处计算其子节点的冗余计算量，从而达到提高算法效率的目的。 |
| 10. | Classification model is based on typical rough set theory and entropy theory , select the attribute according to entropy theory , determine the equivalence classes according to indiscernible relation , then extract the classification rules
分类模型是以经典的粗糙集合理论和信息熵理论为基础，依据信息熵理论对属性进行筛选，依据不可区分关系确定等价类，从而提取决策规则。 |
