Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Melinda T. Gervasio"'
Autor:
Melinda T. Gervasio, Pedro Sequeira
We propose an explainable reinforcement learning (XRL) framework that analyzes an agent's history of interaction with the environment to extract interestingness elements that help explain its behavior. The framework relies on data readily available f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7272ceb6836740d39e2914a5db06cd9d
Autor:
Melinda T. Gervasio, Karen L. Myers
Publikováno v:
ICALT
A major impediment to the widespread deployment of intelligent training systems is the high cost of developing the content that drives their operation. Techniques grounded in end-user programming have shown great promise for reducing the burden of co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b852c0e114291280ec22c253c029ad9b
https://doi.org/10.1109/icalt.2016.114
https://doi.org/10.1109/icalt.2016.114
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 2:1-22
In a world of electronic calendars, the prospect of intelligent, personalized time management assistance seems a plausible and desirable application of AI. PTIME ( Personalized Time Management ) is a learning cognitive assistant agent that helps user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d1eacae86cd4d915fd10712d9df133d
https://doi.org/10.1145/1989734.1989744
https://doi.org/10.1145/1989734.1989744
Autor:
Thomas J. Lee, Melinda T. Gervasio
Publikováno v:
VL/HCC
As computing devices become more pervasive in our daily lives, effective communication between the user and the system becomes increasingly important. The ability to describe actions at a human level of abstraction is key. However, the level at which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef74da03847e5a4b30b39b3d1651830
https://doi.org/10.1109/vlhcc.2013.6645236
https://doi.org/10.1109/vlhcc.2013.6645236
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642391118
AIED
AIED
The acquisition of procedural skills requires learning by doing. Ideally, a student would receive real-time assessment and feedback as he attempts practice problems designed to exercise the targeted skills. This paper describes an automated assessmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd40ae52df83ff37b5fbe4c92bd1969
https://doi.org/10.1007/978-3-642-39112-5_60
https://doi.org/10.1007/978-3-642-39112-5_60
Publikováno v:
IUI
Intelligent systems require substantial bodies of problem-solving knowledge. Machine learning techniques hold much appeal for acquiring such knowledge but typically require extensive amounts of user-supplied training data. Alternatively, informed que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ada7fde14d722af52fa7859257c86f7
https://doi.org/10.1145/1943403.1943425
https://doi.org/10.1145/1943403.1943425
Autor:
Melinda T. Gervasio
Publikováno v:
Proceedings of the 16th international conference on Intelligent user interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5691b5043ef59f89d6e325afec7e1672
https://doi.org/10.1145/3253021
https://doi.org/10.1145/3253021
Publisher Summary This chapter presents Integrated Task Learning (ITL), an approach for learning procedures across domains using end-user programming (EUP). ITL provides a suite of complementary learning and reasoning capabilities for acquiring proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfdad664b97e12ff992e0e8084680da3
https://doi.org/10.1016/b978-0-12-381541-5.00011-0
https://doi.org/10.1016/b978-0-12-381541-5.00011-0
Publikováno v:
IUI
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support end-user creation, use, and modification of the learned tasks. We present an integrated task learning system (ITL) that learns executable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::037fc8d343b8417aed8c942f82055a29
https://doi.org/10.1145/1502650.1502706
https://doi.org/10.1145/1502650.1502706
Autor:
Melinda T. Gervasio, Janet Murdock
Publikováno v:
IUI
Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technology has also matured, making it feasible for end users to teach long, co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18bfedb5d0afe83e91100daf24ce1853
https://doi.org/10.1145/1502650.1502675
https://doi.org/10.1145/1502650.1502675