Entropy based integrated diagnosis for enhanced accuracy and removal of variability in clinical inferences
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سال
: 2014شناسه الکترونیک: 10.1109/CIG.2014.6932888
کلیدواژه(گان): computer games,evolutionary computation,learning (artificial intelligence),planning (artificial intelligence),Lunar Lander arcade game,T-HOLOP algorithm,agent learning,double integrator problem,evolutionary algorithm,evolutionary planning,game action,game continuous dynamics,game continuous states,inverted pendulum problem,optimisation algorithm,rolling horizon methods,truncated hierarchical open loop planning algorithm,Artificial neural networks,Benchmark testing,Optimization
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آمار بازدید
Entropy based integrated diagnosis for enhanced accuracy and removal of variability in clinical inferences
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| contributor author | Sehgal, A. , Agrawal, R. | |
| date accessioned | 2020-03-12T19:35:28Z | |
| date available | 2020-03-12T19:35:28Z | |
| date issued | 2014 | |
| identifier other | 6777019.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/982885 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Entropy based integrated diagnosis for enhanced accuracy and removal of variability in clinical inferences | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8097932 | |
| subject keywords | computer games | |
| subject keywords | evolutionary computation | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | planning (artificial intelligence) | |
| subject keywords | Lunar Lander arcade game | |
| subject keywords | T-HOLOP algorithm | |
| subject keywords | agent learning | |
| subject keywords | double integrator problem | |
| subject keywords | evolutionary algorithm | |
| subject keywords | evolutionary planning | |
| subject keywords | game action | |
| subject keywords | game continuous dynamics | |
| subject keywords | game continuous states | |
| subject keywords | inverted pendulum problem | |
| subject keywords | optimisation algorithm | |
| subject keywords | rolling horizon methods | |
| subject keywords | truncated hierarchical open loop planning algorithm | |
| subject keywords | Artificial neural networks | |
| subject keywords | Benchmark testing | |
| subject keywords | Optimization | |
| identifier doi | 10.1109/CIG.2014.6932888 | |
| journal title | ignal Processing and Integrated Networks (SPIN), 2014 International Conference on | |
| filesize | 363642 | |
| citations | 0 |