This exception is thrown by the commit operation to report that a heuristic decision was made and that all relevant updates have been rolled back.
该异常由提交操作抛出，表示已经试探性决定已作出，但所有相关更新已经回滚。
The fail-first principle [1] is a time-honored heuristic to improve the performance of problem resolution that involves some amount of decision making.
先失败原则 [1]是一个确立已久的探试方法，用于提高涉及一些决策制定的问题解决方案的性能。
A new dynamic heuristic binary decision diagram (BDD) minimization algorithm is proposed.
提出了一种新的动态启发式二叉判定图(BDD)最小化算法。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.
该文介绍了随机决策树分类模型及如何启发式选择随机决策树的深度及棵树，通过实验证明了该算法的有效性和高效性。
Finally, a heuristic algorithm for rules extraction of decision tree was designed.
以新的属性重要性为启发式信息设计决策树规则提取方法。
In consistent decision system, according to heuristic information from two angles the condition attributes are reduced.
对相容性决策系统从两个角度作为启发式信息对条件属性进行数据约减。
The method adopts the core of condition attributes with respect to decision attributes, and calculates condition of heuristic to find root or root of subtree.
该方法运用了粗糙集理论中条件属性相对于决策属性的核，引入启发式条件计算并选择条件属性作为决策树的根结点或子结点。
After that we study on the ordered decision table and propose a new heuristic attribute reduction algorithm based on dominance matrix, whose time complexity is polynomial.
再次，对有序决策表进行了研究，提出了一种基于优势矩阵的启发式属性约简算法。
A new heuristic function to build decision trees based on variable precision rough set is proposed.
应用变精度粗糙集理论，提出了一种利用新的启发式函数构造决策树的方法。
Due to the NP hard problem, it is not realistic to find the optimal decision tree. So researching kinds of heuristic algorithms to induce a decision tree with high accuracy becomes a focus.
由于NP困难，寻找最优的决策树是不现实的，从而探索各种启发式算法去产生一个高精度的决策树变成了这类研究的焦点。
Finally, the experiment process is introduced, comparing with the binary decision tree based on minimum entropy heuristic information, the results show the algorithm proposed in this paper is valid.
最后，给出了实验过程，与用熵作启发式的二叉决策树的比较结果表明了本文算法的有效性。
The presence article explores the "Attitude Heuristic ": the affective elements that influence people's decision.
此文主要研究了“态度启发”效应：影响人们行为决策的情感因素。
In this paper, a heuristic algorithm based on decision strength, the coverage degree of condition vectors and the significance of attribute for condition vectors' reduction is proposed. Experi...
论文以决策强度、条件向量的覆盖度和属性的重要性为启发式信息，提出了条件向量约简的一种启发式算法，通过实验验证了该算法是有效的。
Based on this situation, this paper analyzed the application of the anchoring and adjustment heuristic theory and the prospect theory for the auditing pricing judgment and decision-making.
基于这种现状，本文首先从理论上分析了锚定与调整启发式理论与前景理论在审计定价判断与决策中的应用。
Based on this situation, this paper analyzed the application of the anchoring and adjustment heuristic theory and the prospect theory for the auditing pricing judgment and decision-making.
基于这种现状，本文首先从理论上分析了锚定与调整启发式理论与前景理论在审计定价判断与决策中的应用。
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