1,724,510 research outputs found
[Xiao jing 孝 經.]
Xiao jing 孝 經. ClassiquesNumérisation effectuée à partir d'un document original.Fragment. [Zhang 2,] fin seulement, jusqu'au zhang 12, fin manque. Texte sans commentaire. Quelques erreurs et variantes par rapport à SPTK 10, ff. 4 a 3. 16-12 a 6. 1. Repr. in HKLT , pl. 19 à 23. Cf. KKG , pp. 39, 313. Cf. également art. de Chen Tie fan in Dong hai xue bao 東 海 學 報, 19 (1978), p. 2. Écr. kai à tendance xing. Encre foncée. Quelques ratures et additions. Graffiti composé de 2 car. dans la marge inf. de la col. 32. Quelques signes de redoublement. 47 col., 28 col. env. par f., 23 à 24 car. par col. Marges sup. et inf. 0,1 cm. Réglure 1,5 cm
Xiao Jing 孝經 – Early Meaning of Xiao 孝 and Translation of Text
Artykuł zawiera tłumaczenie na język polski klasycznego tekstu konfucjańskiego pt. Xiao Jing oraz analizę wczesnego znaczenia pojęcia xiao, zwykle tłumaczonego na angielski jako „filial piety”, czyli „synowska nabożność” lub „posłuszeństwo synowskie”. Osoba, która nauczyła się słuchać i opiekować się rodzicami, jest w stanie rozszerzyć to uczucie na innych poza rodziną. To sprawia, że xiao jest korzeniem ren, oznaczajacego przykładne zachowania wobec wszystkich ludzi. Dlatego uczenie się, jak zachowywać się zgodnie z xiao, jest pierwszym etapem konfucjańskiego samodoskonalenia. Xiao Jing, tradycyjnie przypisywane uczniowi Konfucjusza — Zengzi, zapewnia krótki, ale ważny wgląd w jedną z podstawowych konfucjańskich koncepcji etycznych.The paper contains translation of Confucian classical text Xiao Jing into Polish with analysis of early meaning of xiao, usually translated into English as a “filial piety.” Loving and caring for one parents while they are alive and offer sacrifices after their death is the core meaning of xiao. A person who learnt to obey and care for parents is able to extend that feeling to others outside the family. That makes xiao the root of ren — an exemplary behaviour towards all people. Hence learning how to behave in xiao way is first stage of Confucian self-developement. Traditionally ascribed to Confucius’ student Zengzi, Xiao Jing provides short but important insight into one of Confucian core ethical concepts
Xiao jing 孝 經 avec préface.
Xiao jing 孝 經. ClassiquesNumérisation effectuée à partir d'un document original.En 1 j. Ne subsiste que le déb. de la préface, non identifiée. Repr. in HKLT , pl. 57. Éd. par Chen Die fan in TLTT , 42, 9 (1971) pp. 10-11. Cf. art. du même auteur in Dong hai xue bao 東 海 學 報, 19 (1978), p. 5. Écr. kai à tendance xing. Encre inégalement foncée. 11 col., les 4 dernières très mutilées, 18 à 19 car. par col. Marges sup. et inf. 0,1 cm. Réglures par pliage, 1,2 à 1,5 cm
[Xiao jing 孝 經] avec commentaire non identifié.
Xiao jing 孝 經. ClassiquesNumérisation effectuée à partir d'un document original.[Zhang 7,] déb. manque jusqu'au zhang 9, fin manque. Quelques variantes par rapport à SPTK , n° 10, ff. 7 a 2-9 b 3. Repr. in TPLS , pl. 97 à 100 et in HKLT , pl. 167 à 172. Repr. partielle in TKRS , (col. 30 à 39). Cf. Hayashi Hideichi in KKG , p. 36. Contrairement à l'opinion de ce dernier, ce ms. n'est pas un fragment détaché du Pelliot chinois 3378 et de S. 6177. Cf. également Chen Tie fan in Dong hai xue bao 東 海 學 報, 19 (1978), p. 12. Écr. kai, assez grands car. Encre foncée. Car. taboué min (民). 22 col. par f., 18 car. environ par col. pour le texte principal. Commentaires en petits car. sur col. dédoublées. Marges mutilées, sup. 1,5 à 1,7 cm, inf. 1,8 à 2,2 cm
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
Deep Reinforcement Learning (DRL) has become a powerful strategy to solve complex decision making problems based on Deep Neural Networks (DNNs). However, it is highly data demanding, so unfeasible in physical systems for most applications. In this work, we approach an alternative Interactive Machine Learning (IML) strategy for training DNN policies based on human corrective feedback, with a method called Deep COACH (D-COACH). This approach not only takes advantage of the knowledge and insights of human teachers as well as the power of DNNs, but also has no need of a reward function (which sometimes implies the need of external perception for computing rewards). We combine Deep Learning with the COrrective Advice Communicated by Humans (COACH) framework, in which non-expert humans shape policies by correcting the agent’s actions during execution. The D-COACH framework has the potential to solve complex problems without much data or time required. Experimental results validated the efficiency of the framework in three different problems (two simulated, one with a real robot), with state spaces of low and high dimensions, showing the capacity to successfully learn policies for continuous action spaces like in the Car Racing and Cart-Pole problems faster than with DRL.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Learning & Autonomous Contro
MONOPLOTTING – A SEMI-AUTOMATED APPROACH FOR 3D RECONSTRUCTION FROM SINGLE SATELLITE IMAGE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesXXXVIIB3b735-74
AUTOMATIC RELATIVE REGISTRATION OF SPOT5 IMAGERY FOR COLOR MERGING
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesXXXVpart 4939-94
sj-docx-2-taj-10.1177_20406223231190548 – Supplemental material for The use of complementary and alternative medicine for the treatment of gastrointestinal symptoms in Long COVID: a systematic review
Supplemental material, sj-docx-2-taj-10.1177_20406223231190548 for The use of complementary and alternative medicine for the treatment of gastrointestinal symptoms in Long COVID: a systematic review by Brent Gawey, Juan Yang, Brent Bauer, Joanne Song and Xiao Jing Wang in Therapeutic Advances in Chronic Disease</p
sj-docx-1-taj-10.1177_20406223231190548 – Supplemental material for The use of complementary and alternative medicine for the treatment of gastrointestinal symptoms in Long COVID: a systematic review
Supplemental material, sj-docx-1-taj-10.1177_20406223231190548 for The use of complementary and alternative medicine for the treatment of gastrointestinal symptoms in Long COVID: a systematic review by Brent Gawey, Juan Yang, Brent Bauer, Joanne Song and Xiao Jing Wang in Therapeutic Advances in Chronic Disease</p
Pelliot chinois 3274
Contient : [Xiao jing 孝 經] avec sous-commentaire du Yu zhu xiao jing (?) 御 注 孝 經 (?) ; Registre d'équipement vestimentaire de l'armée de Dou lu 豆 盧Numérisation effectuée à partir d'un document original
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