Towards an Ontology-Based Context-Aware Meta-model for the Software Domain
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/CIFEr.2014.6924100
کلیدواژه(گان): commerce,learning (artificial intelligence),market opportunities,risk analysis,NASDAQ,algorithmic trading,risk-averse reinforcement learning,risk-neutral reinforcement learning,Approximation algorithms,Ash,Computer crashes,Educational institutions,Heuristic algorithms,Learning (artificial intelligence),Standards
کالکشن
:
-
آمار بازدید
Towards an Ontology-Based Context-Aware Meta-model for the Software Domain
Show full item record
| contributor author | Erfani, M. , Rilling, J. , Keivanloo, I. | |
| date accessioned | 2020-03-12T23:39:01Z | |
| date available | 2020-03-12T23:39:01Z | |
| date issued | 2014 | |
| identifier other | 6903213.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1119303?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Towards an Ontology-Based Context-Aware Meta-model for the Software Domain | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8289290 | |
| subject keywords | commerce | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | market opportunities | |
| subject keywords | risk analysis | |
| subject keywords | NASDAQ | |
| subject keywords | algorithmic trading | |
| subject keywords | risk-averse reinforcement learning | |
| subject keywords | risk-neutral reinforcement learning | |
| subject keywords | Approximation algorithms | |
| subject keywords | Ash | |
| subject keywords | Computer crashes | |
| subject keywords | Educational institutions | |
| subject keywords | Heuristic algorithms | |
| subject keywords | Learning (artificial intelligence) | |
| subject keywords | Standards | |
| identifier doi | 10.1109/CIFEr.2014.6924100 | |
| journal title | omputer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International | |
| filesize | 415049 | |
| citations | 0 |