Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Joohee Suh"'
Autor:
Joohee Suh, Dean Frederick Hougen
Publikováno v:
2018 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ecdf5149a2728a36be849eeb59e122d
https://doi.org/10.1109/ijcnn.2018.8489617
https://doi.org/10.1109/ijcnn.2018.8489617
Autor:
Dean F. Hougen, Joohee Suh
Publikováno v:
IJCNN
To deal with uncertain environments, autonomous agents must learn without supervision. However, reward-based interactive learning often exhibits limitations handling both generalizations and exceptions, and might benefit from explicit recall of past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40ab7a29eddc88081615253e96133cb
https://doi.org/10.1109/ijcnn.2018.8489380
https://doi.org/10.1109/ijcnn.2018.8489380
Autor:
Joohee Suh
Publikováno v:
Twentieth-Century China. 41:110-135
Zhao Erfeng (1845–1911), the Qing governor-general of Sichuan province in 1911, died immediately after the successful revolutionary uprising in Chengdu. This article examines three biographical narratives of Zhao produced during the 1910s. The thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3520244bed76436c9bec665595ce29c9
https://doi.org/10.1353/tcc.2016.0009
https://doi.org/10.1353/tcc.2016.0009
Autor:
Joohee Suh, Dean F. Hougen
Publikováno v:
SSCI
To deal with uncertain environments, autonomous agents need to be able to learn without supervision. However, reward-based interactive learning often exhibits limitations handling both generalizations and exceptions. For these reasons, this research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b92d003596c69807a77ba8f6f9cf4405
https://doi.org/10.1109/ssci.2017.8285401
https://doi.org/10.1109/ssci.2017.8285401
Autor:
Chong-woo Woo, Joohee Suh
Publikováno v:
Journal of the Korea society of IT services. 11:165-176
Context-Awareness system provides an appropriate service to user by recognizing situation from surrounding environment. There are many successful studies on this framework, but still has some limitations. In this paper, we are describing a context-aw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a008b710a3716083a9a409b303a2803
https://doi.org/10.9716/kits.2012.11.sup.165
https://doi.org/10.9716/kits.2012.11.sup.165
Autor:
Dean F. Hougen, Joohee Suh
Publikováno v:
CICA
An important, long-term objective of intelligent robotics is to develop robots that can learn about and adapt to new environments. We focus on developing a learning model that can build up new knowledge through direct experience with and feedback fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6641d232718b0c40195a1d926a09e63
https://doi.org/10.1109/cica.2014.7013253
https://doi.org/10.1109/cica.2014.7013253
Autor:
Chong-woo Woo, Joohee Suh
Publikováno v:
ICTAI
The context-aware computing environment is changing due to recent development of the new computing devices and new concept of services. The systems are developing rapidly, but most of them focus on recognition of the collected information, not on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04cf803098188fffc80d21887b067434
https://doi.org/10.1109/ictai.2011.151
https://doi.org/10.1109/ictai.2011.151
Autor:
Joohee Suh, Chong-woo Woo
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789048194186
Intelligent service robot is becoming one of the most interesting issues in the recent Robot research. The service robot monitors its surroundings, and provides a service to meet a user’s goal. The service often becomes too complex that one single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df419712dae6ede0eb1584c6aac7e9bf
https://doi.org/10.1007/978-90-481-9419-3_2
https://doi.org/10.1007/978-90-481-9419-3_2
Autor:
Joohee Suh, Chong-woo Woo
Publikováno v:
2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI); 2011, p908-910, 3p