According to comparison, the best threshold was confirmed, so as to the fact that the ratio techniques has a better accuracy than supervised method when doing rice mapping.
通过比较分析，确定了利用阈值法分类时的最佳阈值，并且认为阈值法比监督分类法具有更好的分类精度。
If the ultimate effect of the semi-supervised method is the same or close to the result of supervised learning method, the semi-supervised learning is more advantages in labor costs and achievement.
若其最终的学习效果与全监督学习方法的效果一致或接近，则在人工成本和实现上，半监督学习方法更具有优越性。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
For natural images of complex texture, a supervised boundary detection method using the multi-information fusion was proposed.
针对自然图像纹理复杂的特点，提出了一种多种信息融合的有监督边界检测方法。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
This paper uses a corpus with break indices based on C-TOBI. Applying supervised learning method, some useful attempts are made in the field of automatic break indices intonation.
本文采用了一个基于CTOBI的停顿指数标注的语料库，利用有指导的学习方法对自动停顿指数标注方面做了一些有益的探索。
This paper proposes a new method for meaning clustering called 'Supervised Probabilistic Latent Semantic Indexing' (SPLSI).
本文提出了一种语义聚类和扩展的新方法，称为有指导的统计隐含语义标引(SPLSI)算法。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
Experimental result demonstrates that compared with previously proposed semi-supervised clustering algorithm this method produces better clusters.
实验表明，该算法较之于已提出的半监督聚类算法，获得了更好的聚类性能。
At present, most of video semantic annotation methods are based on statistic theory. The methods use supervised learning method to do semantic label.
目前已有的视频语义标注方法多是基于统计学理论，采用全监督学习方法进行语义标注工作。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
The image of Nanchuan in 2000 was interpreted using a multi-extracting method combining supervised classification with non-supervised classification.
利用监督分类和非监督分类相结合的分层提取分类方法对南川市2000年遥感影像进行解译。
A 3d expression generating method based on morphing and supervised learning is introduced.
提出一种基于变形和监督式学习的三维表情生成方法。
Adopting the method of the organism supervision, the present condition of inshore ecosystem environment in Maoming city is investigated and supervised.
采用生物监测方法，对茂名市近岸海域生态环境进行现状调查和监测。
The invention relates to a supervised classification method of multi-class hyperspectrum remotely sensed data, which comprises the following steps: (1), reading the hyperspectrum data;
一种高光谱遥感数据多类别监督分类方法，包含以下步骤：（1）读入 高光谱数据；
Presents a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
采用平衡的倒摆小车所记录下来的数据，经处理后用有师学习方法来训练前馈神经网络。
It then describes the supervised classification technique based on the search coding method.
然后探讨了基于搜索编码的监督分类技术。
So, the semi-supervised learning method by learning a small number of labeling samples and a large number of samples to establish classifier came into being.
如此，通过对少量已标记样本和大量未标记的样本进行学习从而建立分类器的半监督学习方法应运而生。
In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.
本文讨论了利用半监督学习方法进行视频语义标注的问题。
How to make the effect of semi-supervised learning closed to or the same to the supervised learning by unlabeled samples information is the key of semi-supervised learning method.
如何利用未标记的视频样本信息达到类似于全监督学习的效果是半监督学习方法的关键。
The method of product feature extraction and analysis can be divided into supervised machine learning methods, semi-supervised machine learning algorithms and unsupervised machine learning algorithm.
产品评价对象的提取与分析的方法主要分为有监督的机器学习方法、半监督的机器学习算法、无监督的机器学习算法。
A new supervised discretization method is proposed, which is based on Bayes measure to automatically find the most appropriate boundaries for discretization and the number of intervals.
它能够在无先验知识的前提下，自动寻求最佳的离散子区间数目和区间划分。
The method takes advantage of semi-supervised thought to quantitate speech data and forms a code model with supervision information.
该方法利用半 监督的思想对方言语音数据进行矢量 量化，形成具有监督信息的码本模型。
The method takes advantage of semi-supervised thought to quantitate speech data and forms a code model with supervision information.
该方法利用半 监督的思想对方言语音数据进行矢量 量化，形成具有监督信息的码本模型。
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