英汉例句

• then in allusion to these two important factors, a concept of incremental learning and a loss extent parameter are put forward in this paper, and native bayesian classification.

  文中针对该算法这两个最主要的缺陷，提出增量学习概念，引入损失幅度参数，改进和完善朴素贝叶斯分类算法。

• pair programming takes this to the next step -- rather than the incremental learning using inspections, why not continuous learning using pair programming?

  配对编程将这个带入下一步――与其用inspection来递增式学习，为什么不用配对编程来学习呢？

• the population-based incremental learning (pbil) is a novel evolutionary algorithm combined the mechanisms of the genetic algorithms with competitive learning.

  基于群体的增量学习算法（pbil）是一种将遗传算法和竞争学习相结合的新型进化优化算法。

• however, considering data fusion of multiple sensors, traditional svm single-classifier can't directly support small sample incremental learning for sensor data stream.

  在融合多个传感器数据的分类算法方面，传统的支持向量机（svm）单分类器不能直接对传感器数据流进行小样本增量学习。

• the proposed scheme adopts the gaussian probability model to depict the parameters of svm, and updates the parameters of svm based on the incremental learning svm without saving the training data.

  提出的方法采用高斯概率模型描述svm的参数统计特征，在无需额外存储训练数据的前提下，采用增量学习svm的方式实现参数的更新；

• instead, consider adopting some of the new agile development methods, such as extreme programming (xp), that foster this kind of incremental learning and development.

  他们应该考虑一些敏捷（agile）开发方法，例如极限编程（xp），这种开发方法采用一种增量学习及开发方法。

• an incremental learning method for ehw based on knowledge acquirement was proposed and ehw-oriented learning mechanism was constructed.

  本文构造了一种基于知识的递增式学习模式，研究了一种面向ehw的自适应学习机制。

• to overcome the disadvantages of svm in training speed and precision, some researches are carried out aimed at incremental learning and multi-class classification based on svm in this paper.

  本文针对支持向量机时间复杂度和空间复杂度等问题，分别就支持向量机的增量学习算法和多类分类算法进行了研究。

• an incremental learning algorithm (ila) is deduced from the gradient descend algorithm. ila can adjust parameters of rbf networks adaptively driven by minimizing the error cost.

  在梯度算法基础推导出一种增量式的学习算法，在训练过程中该算法可以自适应调整网络参数。

• incremental learning mode is meaningful to efficiently acquire additional knowledge on the basis of original knowledge structure.

  增量学习是一种在巩固原有学习成果的基础上快速有效地获取新知识的学习模式。

• based on the equivalence between the original training set and the newly added training set, a new algorithm for svm-based incremental learning was proposed.

  基于原训练样本集和新增训练样本集在增量训练中地位等同，提出了一种新的svm增量学习算法。

• based on dragpush strategy, the paper introduces a text classification incremental learning model, named iccdp.

  基于拉推策略的基本思想，该文提出了文本分类的增量学习模型iccdp。

• then this dissertation divides intrapreneurial learning into two fundamental processes according to the property of planning and sustainment: incremental learning and leapfrogging learning.

  内企业家学习的过程从计划性和持续性角度可以分为渐进式学习和跨越式学习。

• in order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.

  为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。

• the new algorithm combines the merit of decision tree induction method and naive bayesian method. it retains the good interpretability of decision tree and has good incremental learning ability.

  该算法综合了决策树方法和贝叶斯方法的优点，既有良好的可解释性，又有良好的增量学习能力。

• based on the process of vision-creative ideas-action-result, incremental learning can be divided into three phases: adaptive learning, developmental learning and creative learning.

  渐进式学习基于愿景—设想—行动—结果的流程，分为适应性学习、发展性学习和创造性学习三阶段；

• in this paper, we study the active learning method based on the incremental decision tree through which combines the merits from the incremental learning and the active learning.

  本文研究了基于增量决策树的主动学习方法，其实就是将增量学习和主动学习两种方法进行有效地结合，从而同时发挥二者的优势。

• an incremental learning algorithm using multiple support vector machines (svms) is proposed.

  给出了使用多支持向量机进行增量学习的算法。

• presents an improved incremental learning algorithm based on kkt conditions.

  提出了一种改进的基于kkt条件的增量学习算法。

• a fast incremental learning algorithm is proposed.

  提出了一种快速、增量式的学习算法。

• a new geometric fast incremental learning algorithm for support vector machines (svm) was proposed.

  提出了一种新的基于壳向量的增量式支持向量机快速学习算法。

• the algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.

  该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。

• the experiments show that ibn-m algorithm can learn comparatively accurate network from the extremely large dataset. ibn-m is an interesting improvement for incremental learning bayesian network.

  实验结果表明ibn-m算法在数据缺失下贝叶斯网络的增量学习中确实能够学出相对精确的网络模型，该算法也是对贝叶斯网络增量学习方面的一个必要的补充。

• this paper presents an adaptive and iterative support vector machine regression algorithm(caisvr) based on chunking incremental learning and decremental learning procedures.

  文中基于块增量学习和逆学习过程，提出了自适应迭代回归算法。