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I was running GAMA multiple times and sometimes it happens that the search phase does not end within the max_total_time. I have to interrupt GAMA to stop the search. The logs show the following behavi…
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Starting at 16h, in the order of this thread, 5 min plus questions.
Slides at https://docs.google.com/presentation/d/1QZUv-fZBu9QN06omFgRbPvQ0KF-pRHYO8Q7vYi6sKjQ/edit?usp=sharing
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# Reference
- [ ] [Github repo](https://github.com/EpistasisLab/tpot)
- [ ] [Docs](http://epistasislab.github.io/tpot/)
# Brief
- A Python Automated Machine Learning tool that optimizes machine …
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Weigh out the pro's and cons among different optimization techniques based on the expected scale of the integration scenarios that will be solved. Potential candidates are NLP( Nonlinear Programming) …
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# Aim
I would like to Contribute Traveling Salesman Problem using Genetic Algorithm under LGMSOC'21 in C++
# Details
Genetic algorithms are heuristic search algorithms inspired by the process…
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Walking:
- http://rednuht.org/genetic_walkers/
- https://vimeo.com/79098420
- http://www.cs.ubc.ca/~van/papers/2013-TOG-MuscleBasedBipeds/2013-TOG-MuscleBasedBipeds.pdf
Other:
- A genetic algorithm …
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https://arxiv.org/pdf/1705.00594
While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to …
leo-p updated
7 years ago
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Currently when learning an MRsort model, a population of intermediate models is trained in parallel. After each training iteration, the best half of this population is kept, and the worst half is rein…
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hi dr bhrnjica
i am using GPDOTNET version 5.1 in particular project.
the training correlation coefficient is 0.987 but the testing correlation coefficient is about -0/03!!!
how should i change t…
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In #234, we introduced an optional class hierarchy for genetic programming primitives to allow a small optimization. But all these classes do is allow the arity of primitives to be queried.
@markc…