...ing）和被动学习（passive learning）；从训练过程启动的早晚，可以分为迫切学习（eager learning）和惰性学习（lazy learning）；等等。
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In order to solve this problem, the first instance selection algorithm was presented just after lazy learning appeared, and even today new instance selection algorithms have been still designing.
为了解决这个问题,在惰性学习诞生后不久,就出现了第一个实例选择算法,直至今天仍不断有新的实例选择算法出现。
参考来源 - 惰性学习中实例选择研究与应用·2,447,543篇论文数据，部分数据来源于NoteExpress
设定一个短期目标来开始你的学习或许会更好，“先把你的脚弄湿”，克服这种惰性。
It may be better to set a short term goal to kick-start your studies, to "get your feet wet" and overcome this inertia.
如果你依赖于完全惰性（full laziness），不希望学习如何生成任何零成本的结果，那么当然可能对你有影响。
This could matter to you if you are relying on full laziness to preclude the generation of any non-consumed results.
他无法克服他的惰性去报名一门新课程来学习。
He could not overcome his inertia and enrol in a new course of study.
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