Peutz-Jeghers syndrome(PJS) is a rare autosomal dominant inherited disorder, manifested as multiple hamartomatous polyps of gastrointestinal tract, mucocutaneous pigmentations and increased risk of cancers. In this ma...Peutz-Jeghers syndrome(PJS) is a rare autosomal dominant inherited disorder, manifested as multiple hamartomatous polyps of gastrointestinal tract, mucocutaneous pigmentations and increased risk of cancers. In this manuscript, we reported five cases of small intestinal carcinoma associated with the PJS. All the five patients have a history of PJS and postoperative pathological examination confirmed the diagnosis of small intestinal carcinoma. Histopathological features and recommended surveillance were additionally discussed.展开更多
Support vector machines （SVMs） have been introduced as effective methods for solving classification problems. However, due to some limitations in practical applications, their generalization performance is sometimes...Support vector machines （SVMs） have been introduced as effective methods for solving classification problems. However, due to some limitations in practical applications, their generalization performance is sometimes far from the expected level. Therefore, it is meaningful to study SVM ensemble learning. In this paper, a novel genetic algorithm based ensemble learning method, namely Direct Genetic Ensemble （DGE）, is proposed. DGE adopts the predictive accuracy of ensemble as the fitness function and searches a good ensemble from the ensemble space. In essence, DGE is also a selective ensemble learning method because the base classifiers of the ensemble are selected according to the solution of genetic algorithm. In comparison with other ensemble learning methods, DGE works on a higher level and is more direct. Different strategies of constructing diverse base classifiers can be utilized in DGE. Experimental results show that SVM ensembles constructed by DGE can achieve better performance than single SVMs, hagged and boosted SVM ensembles. In addition, some valuable conclusions are obtained.展开更多
文摘Peutz-Jeghers syndrome(PJS) is a rare autosomal dominant inherited disorder, manifested as multiple hamartomatous polyps of gastrointestinal tract, mucocutaneous pigmentations and increased risk of cancers. In this manuscript, we reported five cases of small intestinal carcinoma associated with the PJS. All the five patients have a history of PJS and postoperative pathological examination confirmed the diagnosis of small intestinal carcinoma. Histopathological features and recommended surveillance were additionally discussed.
基金This work was supported by National Basic Research Programof China under Grant2002cb312200 01 3National Nature ScienceFoundation of China under Grant60174038.
文摘Support vector machines （SVMs） have been introduced as effective methods for solving classification problems. However, due to some limitations in practical applications, their generalization performance is sometimes far from the expected level. Therefore, it is meaningful to study SVM ensemble learning. In this paper, a novel genetic algorithm based ensemble learning method, namely Direct Genetic Ensemble （DGE）, is proposed. DGE adopts the predictive accuracy of ensemble as the fitness function and searches a good ensemble from the ensemble space. In essence, DGE is also a selective ensemble learning method because the base classifiers of the ensemble are selected according to the solution of genetic algorithm. In comparison with other ensemble learning methods, DGE works on a higher level and is more direct. Different strategies of constructing diverse base classifiers can be utilized in DGE. Experimental results show that SVM ensembles constructed by DGE can achieve better performance than single SVMs, hagged and boosted SVM ensembles. In addition, some valuable conclusions are obtained.
