3)Translate More for Less
Machine translation eliminates the main constraints of human translation: cost and capacity.
As the volume of information grows, it surpasses the capacity of human translators and enterprise budgets. Corporations want to translate more for less and they need to do it fast.
Machine translation is the only viable solution to translate content that would not be translate
Language is an essential driver of enterprise growth.
Machine translation eliminates the main constraints of human translation: cost and capacity.
Machine translation can be used by human translation service providers as a way to boost productivity.
Given enough data, machine translation programs often work well enough for a native speaker of one language to get the approximate me
implanted murine glioma cells mixed with murine neural stem cells transduced to
express interleukin-4 into syngeneic hosts, with 80% long-term survival compared with 40% with
nontransduced NSCs and none for controls. Both of these studies involved simultaneous inoculation of
tumor and NSCs with a high NSC/tumor cell ratio, therefore an artificial and nonclinically translatable
strategy.
많은 조직은 자동화 된 복잡한 의사 결정에 신경회로망을 사용한다. 신경회로망은 요청된 행동의 방향 패턴을 쉽게 식별할 수 있다. 각각의 회로망은 그들의 활동을 증진 시키기 위해 과거의 경험으로부터 배운다. Technology 구성원의 멤버인 그들은 기계학습법이라고 불린다. 기계학습법은 11장에서 묘
1 – 1. Decision Tree Using User-defined Algorithm(By SAS E-miner)
Splitting Condition : Entropy Reduction
Minimum Number of Observation : 46(1% of Data Set,
To avoid Overfitting & Underfitting)
Test Accuracy = 1266/1389 = 91.74%
Accuracy is increased little as Decision Tree used by C4.5
Because, Decision Tree is sufficiently good classifier.