Approximation algorithm of misclassification minimization 錯(cuò)誤分離最小化的一個(gè)新的近似算法
Both of the two methods can solve misclassification in the normal segment method 這兩種算法的提出,很好解決了一般分割方法處理肝臟mdct圖像產(chǎn)生的誤分問(wèn)題。
2 . develop an improving small region growing method to solve the misclassification evocated by blur boundary between liver and adjacent organs . 3 提出小區(qū)域增長(zhǎng)算法,以解決由于肝臟與相鄰器官的邊界模糊而引起的所謂誤分現(xiàn)象。
The diagnostic power of the classifiers was compared regarding their misclassification error rates and area under the receiver - operating characteristic curve 考慮到其誤分類錯(cuò)誤率及受試者工作特征曲線下面積,該分類機(jī)的診斷效力有一定可比性。
Study limitations included the lack of recording for tumor grade and estrogen - receptor status , and the possibility of misclassification of some hereditary cases 本研究的局限性包括缺乏腫瘤分級(jí)和雌激素受體狀態(tài)的記錄,以及可能對(duì)某些遺傳性病例分類錯(cuò)誤。
This paper gives the definition of " loss matrix of groups distance " . using this definition we can illustrate the loss of misclassification in multi - groups quantitatively and more practically 本文給出了“總體距離損失矩陣”的定義,應(yīng)用這個(gè)定義定量地說(shuō)明了多個(gè)總體之間誤判的代價(jià),更加符合實(shí)際意義。
As the expriment result shows , we can use the range of misclassification rate ( which the maximum entropy model supports ) as the indicator of whether a process is attacked 最后,我們運(yùn)用最大熵原理建立進(jìn)程調(diào)用序列的最大熵(分類)模型,運(yùn)用模型預(yù)測(cè)系統(tǒng)調(diào)用和利用誤分類率為檢測(cè)指標(biāo),以達(dá)到更好地檢測(cè)入侵目的。
At the same time , after successful absorbent of the factor of misclassification cost into splitting principle of decision tree algorithm , the classification model gets a high improvement in accuracy and adaptation 同時(shí),在傳統(tǒng)的決策樹(shù)算法的分裂準(zhǔn)則中成功引入了誤分代價(jià)的因素,從而提高了分類模型的準(zhǔn)確性和適用性。
Models incorporating time - varying covariates enhanced predictive power by reducing misclassification and incorporating day - to - day changes in extra - renal organ system failure and the provision of dialysis during the course of arf 通過(guò)減少錯(cuò)誤分類,加入腎外器官衰竭逐日變化和arf期間透析的提供,這些時(shí)間變化因素的加入增加了模型預(yù)測(cè)力。
Then , with respect to the objective of minimizing the total experimental cost , the optimal test plan ( including the sample size , inspection frequency , and the termination time needed by the classification rule for each of competing designs ) is derived by solving a nonlinear integer programming with a minimum probability of correct classification and a maximum probability of misclassification 首先,我們提出一種具直觀優(yōu)點(diǎn)的分?法則,然后以總試驗(yàn)成本的最小化為目標(biāo),并賦予一正確分?的最小機(jī)?要求和錯(cuò)誤分?的最大容許機(jī)? ?個(gè)限制條件,以決定出在所提出的分?法則下,各競(jìng)標(biāo)設(shè)計(jì)樣式所需的樣本? 、 ?測(cè)頻?和試驗(yàn)終止時(shí)間的最佳組合。