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- Neural Network Based Feature and Sample Selection for Spervised Multi Classification Problems 基于特征和采样选择的神经网络解决有监督的多分类问题
- The kernel matrix information contains in the non-SV will be transferred to the SV to hold good classification performance of LSSVM.HS-LSSVM can be used for multi classification. 算法将其余个体的信息转移至支持向量上，在实现高度稀疏化的同时，良好地保持了LSSVM的分类性能，并能适用于多类问题。
- The rock quality evaluation can be taken as a pattern recognition or classification problem. 岩体质量评价问题可以认为是一个模式识别或分类问题。
- The accuracy of classification of SVM in a two-class classification problem would be decreased because of those promiscuous samples. 摘要 支持向量机在处理两类分类问题时，当两类样本混杂严重时会降低分类精度。
- In a normal microarray classification problem there will be many genes, on the order of thousands, and few samples, on the order of tens. 科学家藉由基因微阵列资料来瞭解数万个基因所代表的意义与其相互关系，然而基因微阵列具有高维度、小样本之特性，因此在分类时会造成许多困难。
- For a kind of group decision classification problem, a method aggregating group preference from multiple decision tables based on variable precision rough set is proposed. 摘要针对群决策分类问题，提出一种可以从多个决策表中获取群体分类偏好的可变精度粗糙集方法。
- For classification problems, the sensitivity definition is reasonable. 分类问题的敏感性定义是合理的。
- Additionally, this algorithm can also be used to other pattern classification problems in power systems. 同时，该算法也可用于电力系统中的其它模式分类问题。
- Fuzzy classification systems can deal with perceptual uncertainties in classification problems. 模糊分类系统可以处理分类问题中资料的不确定性。
- A new algorithm to solve classification problems is obtained based on the support vector regression (SVR). 摘要本文提出了基于支持向量回归机(SVR)的一种新分类算法。
- Some Understanding on Stress Classification Problem 关于应力分类问题的几点认识
- Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field. 多分类器组合是解决复杂模式识别问题的有效办法。
- I look at this problem from a different viewpoint. 我从不同的观点来看这个问题。
- multi-class classification problem 多分类问题
- The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast. 对多个分类问题的测试表明，HS-LSSVM具有稀疏率高，分类性能强，且稀疏化速度较快等优点。
- She skirted round the problem of the high cost. 她避而不谈巨额费用问题。
- It may take a long time to find a solution to the problem. 也许要花很长时间才能找到解决这个问题的办法。
- In dealing with the problem he was cautious to an extreme. 他在处理这个问题时谨慎得过分了。
- Uncertain classification problem 非确定性问题
- The problem is how we are to get the raw material. 问题是我们怎样得到原材料。
