incremental learning造句
例句与造句
- ( 3 ) the improvement of the incremental learning algorithm in this paper , the shortcomings of the traditional incremental learning procedure are pointed out , and the n corresponding resolving methods are advanced
( 3 ) svm增量学习算法的改进本文中，作者指出了传统的增量学习方法中存在的缺陷，并根据此缺陷提出了相应的解决方法。 - There is no universal incremental learning algorithm for all feedfoward neural networks because of not only their varities on the stucture and learning algorithms , but also their dependence on former learning instances
由于前馈神经网络结构和学习算法的多样性以及对原有训练样本的必然依赖性的缺点，一直没有一种通用的增长学习算法。 - In this paper , we also put forward a incremental learning algorithm for such a model . when the number of new samples attains or exceeds the valve , we use these samples to make a model , and merge this model with current model , thus get a new current model
针对这个问题,论文提出了一种增量学习方法:当新样本集的样本数达到或超过阀值时,用新样本集建立一个模型,与当前的模型合并,得到最新模型。 - The main ideal is to divide the decision system into several subsystems based on the decision classes and construct the new decision matrix , and then to transform the inductive learning for the decision system into the incremental learning based on the new decision matrix
其主要思想是基于决策类将决策系统分割为多个子系统，并构造其新的决策矩阵，然后将决策系统上的归纳学习转化为新决策矩阵下的递增式学习。 - 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 . accordingly , leapfrogging learning is composed of key - affair - learning , benchmarking learning , and unlearning
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；跨越式学习则由关键事件学习、标杆学习和忘却学习组成。 - It's difficult to find incremental learning in a sentence. 用incremental learning造句挺难的
- They also have successful applications in many fields , such as : face detection , handwriting digit recognition , text auto - categorization , etc . but as a new technique , svm also have many shortcomings that need to be researched , including : sensitive to noise , have a limitation in the scale of training set , the shortcomings of training methods , incremental learning , and the combination with the prior knowledge , etc . the applications in many fields are limited because of these problems
由于其出色的学习性能，该技术已成为机器学习界的研究热点，并在很多领域都得到了成功的应用，如人脸检测、手写体数字识别、文本自动分类等。但是作为一种新兴技术， svm在很多应用领域的研究还有待探索和完善。例如：训练算法缺乏容噪性能、训练集大小具有上界、训练算法的完善、不支持增量学习、缺乏和先验知识的整合能力等等。 - After making a deep study of the problems of the existing inductive learning algorithms based on discernibility matrix and traditional decision matrix , a new decision matrix and an algorithm based on this matrix for inductive learning and incremental learning in the environment of incremental data set were proposed
摘要深入分析了基于分辨矩阵和传统决策矩阵的归纳学习算法中存在的问题，提出了一种新的决策矩阵及基于它的归纳学习和动态数据环境下的递增式学习方法。 - When the increased data are learned , the data , which belong to bok but near by the hyperplane , play an important role in the changing of the new hyperplane . and the change focuses in the local area of the increased data . based on the above two ideas , a improved incremental learning procedure is advanced and tested
而且当新增加样本时， bok中那些在分类面边缘增加的数据对分类面的改变都起着重要的作用，而且更重要的是分类面大部分的变化集中在新增样本区域的周围，基于这种思想提出的方法区域增量svm学习算法在实验中也充分验证了以上两点改进。
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