The paper briefly introduces the principle of SVM in sorting first. Then using normal distribution as an example,the paper points out that the SVM can not get excellent sorting ability when the sample numbers of diffe...The paper briefly introduces the principle of SVM in sorting first. Then using normal distribution as an example,the paper points out that the SVM can not get excellent sorting ability when the sample numbers of different class are different greatly. A method has been designed to compute the penalty parameter to error samples. On the basis of different penalty parameter an advanced SVM algorithm has been developed. Two simulated examples show the new algorithm is feasible.展开更多
In this paper, we have discussed a random censoring test with incomplete information, and proved that the maximum likelihood estimator(MLE) of the parameter based on the randomly censored data with incomplete informat...In this paper, we have discussed a random censoring test with incomplete information, and proved that the maximum likelihood estimator(MLE) of the parameter based on the randomly censored data with incomplete information in the case of the exponential distribution has the strong consistency.展开更多
文摘The paper briefly introduces the principle of SVM in sorting first. Then using normal distribution as an example,the paper points out that the SVM can not get excellent sorting ability when the sample numbers of different class are different greatly. A method has been designed to compute the penalty parameter to error samples. On the basis of different penalty parameter an advanced SVM algorithm has been developed. Two simulated examples show the new algorithm is feasible.
文摘In this paper, we have discussed a random censoring test with incomplete information, and proved that the maximum likelihood estimator(MLE) of the parameter based on the randomly censored data with incomplete information in the case of the exponential distribution has the strong consistency.
