%0 Conference Paper %1 conf/spects/ThapaliyaS17 %A Thapaliya, Alisha %A Sengupta, Shamik %B SPECTS %D 2017 %I IEEE %K dblp %P 1-8 %T Understanding the feasibility of machine learning algorithms in a game theoretic environment for dynamic spectrum access. %U http://dblp.uni-trier.de/db/conf/spects/spects2017.html#ThapaliyaS17 %@ 978-1-5386-0529-5

@inproceedings{conf/spects/ThapaliyaS17, added-at = {2017-10-30T00:00:00.000+0100}, author = {Thapaliya, Alisha and Sengupta, Shamik}, biburl = {https://www.bibsonomy.org/bibtex/2e0f1926e45003d7d2e5b4f6a1814ce1f/dblp}, booktitle = {SPECTS}, crossref = {conf/spects/2017}, ee = {https://doi.org/10.23919/SPECTS.2017.8046784}, interhash = {bf886ab8ca8ae08f9e9c44518150dfcf}, intrahash = {e0f1926e45003d7d2e5b4f6a1814ce1f}, isbn = {978-1-5386-0529-5}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2017-12-07T23:22:15.000+0100}, title = {Understanding the feasibility of machine learning algorithms in a game theoretic environment for dynamic spectrum access.}, url = {http://dblp.uni-trier.de/db/conf/spects/spects2017.html#ThapaliyaS17}, year = 2017 }