1. T'oegye wa Hip'ok'ŭrat'esŭ ka mannagi kkaji -- 2. Taehwa e ch'amyŏ hasin pundŭl -- 3. Che 1-il. 'Kojŏn muksang' : kijon ŭi palgyŏndŭl ŭl ch'ulbalchŏm ŭro samaya -- 4. Che 2-il. 'Chonjaeron': mom an ŭi param ŭn hohŭp, mom pak ŭi param ŭn konggi -- 5. Che 3-il. 'Chŏngsŏ haengdongnon': chari ŭi ch'ai ro inhae sŏro tarŭda -- 6. Che 4-il. 'Kongburon': chonjae haji annŭn ŭisul ŭn ŏpta -- 7. Che 5-il. 'Chihaengnon': maŭm i p'yŏnhaji anŭl ttae nŭn han (...) kŏrŭm kŏrŏra -- 8. Che 6-il. 'Yulliron': kajang hullyunghan ŭihak ŭn ŭihak ŭl p'iryo ro haji ank'e hanŭn kŏt -- 9. Che 7-il. 'Chilli nŭn kat'ŭn kot e': modŭn kŏt ŭi sijak kwa kkŭt ŭn hana ida -- 10. Hip'ok'ŭrat'esŭ myŏngŏndŭl. (shrink)

Brain–computer interfaces (BCIs) utilizing machine learning techniques are an emerging technology that enables a communication pathway between a user and an external system, such as a computer. Owing to its practicality, electroencephalography (EEG) is one of the most widely used measurements for BCI. However, EEG has complex patterns and EEG-based BCIs mostly involve a cost/time-consuming calibration phase; thus, acquiring sufficient EEG data is rarely possible. Recently, deep learning (DL) has had a theoretical/practical impact on BCI research because of its use (...) in learning representations of complex patterns inherent in EEG. Moreover, algorithmic advances in DL facilitate short/zero-calibration in BCI, thereby suppressing the data acquisition phase. Those advancements include data augmentation (DA), increasing the number of training samples without acquiring additional data, and transfer learning (TL), taking advantage of representative knowledge obtained from one dataset to address the so-called data insufficiency problem in other datasets. In this study, we review DL-based short/zero-calibration methods for BCI. Further, we elaborate methodological/algorithmic trends, highlight intriguing approaches in the literature, and discuss directions for further research. In particular, we search forgenerative model-based andgeometric manipulation-based DA methods. Additionally, we categorize TL techniques in DL-based BCIs intoexplicitandimplicitmethods. Our systematization reveals advances in the DA and TL methods. Among the studies reviewed herein, ~45% of DA studies used generative model-based techniques, whereas ~45% of TL studies used explicit knowledge transferring strategy. Moreover, based on our literature review, we recommend an appropriate DA strategy for DL-based BCIs and discuss trends of TLs used in DL-based BCIs. (shrink)

성리학의 이기론을 체계화한 16세기 학자 율곡 이이 의 생애와 사상, 학문을 살핀 저서.

윤리의 근본 참뜻을 공자.맹자의 사상과 저술, 삶의 일화를 인용하며 알기 쉽게 엮었다.

1. Yugyo chŏnt'ong kwa taedong inyŏm -- 2. Yugyo chŏnt'ong, Han'guk minjujuŭi, taedong minjujuŭi -- 3. Taedong minjujuŭi wa pip'an iron ŭi pangbŏp -- 4. Munmyŏng chŏnhwan ŭi sidae wa saengt'ae, taedong minjujuŭi ŭi kanŭngsŏng.

Figure originale de la pensée chinoise, Wang Chong passe en revue, dans cet ouvrage, les conceptions de son temps. Alors que dans leur majorité les penseurs chinois se préoccupent en priorité de morale, il se donne un programme d'ordre épistémologique : la lutte contre l'erreur et le mensonge.