| 1. | Sliq and sprint are all faced with fixed training set
目前这两种算法所处理的都是固定大小的训练集。 |
| 2. | Tree pruning can descend the existent noise of training set
剪枝的目的是降低由于训练集存在噪声而产生的起伏。 |
| 3. | ( 5 ) take every equivalence as a subset and train it with svms
( 5 )让每一个等价类(或相近类)作为一个子集，作为svm的训练集。 |
| 4. | The training set and testing set were constructed to verify the effect of this model
为了验证该方法的效果，构造了问题的训练集和测试集。 |
| 5. | At last , we combine the train rules and special word rules to identify the new documents
最后，结合训练集的提取规则与特殊词规则，对新文档进行判别。 |
| 6. | Through analysis and summarize , all kinds of the language characters is gained
通过对这一训练集进行人工分析总结,得出这些句子的各个方面和层次的语言特征。 |
| 7. | The experiments show that this algorithm can deal with sparse train data with rather high accuracy
实验结果表明，该算法在训练集较小的情况下，算法可以具有较好的性能。 |
| 8. | They are more efficient than inductive svms , especially for very small training sets and large test sets
它在包含少量有标签样本的训练集和大量无标签样本的测试集上，具有良好的效果。 |
| 9. | The results showed that the prediction accuracy is satisfied , even though there are a few data in trainit1g sets
结果表明，在训练集样本数据较少时，广义回归神经网络的预测准确度仍然很高。 |
| 10. | In addition , we present the methods of how to evaluate the separability of image bank and how to estimate gmm parameters rapidly
另外，作者还提出了关于如何衡量肤色模型训练集的可分性以及一种快速的高斯混合模型参数估计的算法。 |
