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help me to add log linear learning

Job Description:

implement log linear learning, code a probabilistic decision based on potential game.,simplify the game theory based compressive sensing/ routing problem, implement log linear learning in that context. Examine performance of log linear learning for more general games and compare to potential games.

Skills: Matlab and Mathematica, Telecommunications Engineering, Communications

About the Client:
( 0 reviews ) Istanbul, Turkey

Project ID: #36244566

14 freelancers are bidding on average $64 for this job

iamhamzazaki

I Read the project description I can add the log line you can contact me we can discuss further over chat I can start the project now

$30 USD in 1 day
(163 Reviews)
6.5
hayat38402

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$50 USD in 7 days
(41 Reviews)
5.5
IdealExpert

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$30 USD in 1 day
(10 Reviews)
4.2
assignsolver

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$30 USD in 1 day
(16 Reviews)
3.8
merinsinha

Matlab expert. I can do it. As 9+ years experiences in these field. I can give good quality work. I have read the guidelines of your work.I believe that i can provide you the best quality works you are anticipating fro More

$240 USD in 3 days
(6 Reviews)
3.6
toplinesolutions

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2.8
SolutionMart

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(2 Reviews)
2.1
HelpingLab

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(1 Review)
2.2
WritingLabb

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(4 Reviews)
1.1
FineIdeas

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$30 USD in 1 day
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0.0
TopWritingGuru

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$30 USD in 1 day
(0 Reviews)
0.0
DanilKozlov1

Hello I am a matlab programmer. I have rich experiences with machine learning projects. I have read your requirement and I think I can help you best for this project. Thanks for your reading. Best regards.

$50 USD in 2 days
(0 Reviews)
0.0
ngormonyluak

I have read and understood your project details I'm Ngor Monyluak Let's talk a lot in the chat. I can write 6_7 page per hour

$140 USD in 7 days
(0 Reviews)
0.0
UmairaAkbar

Greetings! i have read your projects demands very carefuly. i am expert in mathamatics. i am interesting in your project. i will make sure that i will guide you proper details about your project. i will share very hel More

$140 USD in 7 days
(0 Reviews)
0.0