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pro vyhledávání: '"Harvilla, Mark"'
Bitcoin mining is a wasteful and resource-intensive process. To add a block of transactions to the blockchain, miners spend a considerable amount of energy. The Bitcoin protocol, named 'proof of work' (PoW), resembles a lottery and the underlying com
Externí odkaz:
http://arxiv.org/abs/2001.09244
The Project PAI Data Protocol ("PAI Data") is a specification that extends the Project PAI Blockchain Protocol to include a method of securing and provisioning access to arbitrary data. In the context of PAI Coin Development Proposal (PDP) 2, this pa
Externí odkaz:
http://arxiv.org/abs/1902.02470
Autor:
Harvilla, Mark, Du, Jincheng
PAI Coin's Proof-of-Work (PoW) consensus mechanism utilizes the double SHA-256 hashing protocol-- the same mechanism used by Bitcoin Core. This compatibility with classic Bitcoin-style mining provides low barrier to entry for PAI Coin mining, consequ
Externí odkaz:
http://arxiv.org/abs/1902.02469
Autor:
Harvilla, Mark J.
The performance, reliability, and ubiquity of automatic speech recognition systems has flourished in recent years due to steadily increasing computational power and technological innovations such as hidden Markov models, weighted finite-state transdu
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=3692092
Autor:
Harvilla, Mark J.
The performance, reliability, and ubiquity of automatic speech recognition systems has flourished in recent years due to steadily increasing computational power and technological innovations such as hidden Markov models, weighted finite-state transdu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe349cb08c2febf28d564c012c4ddbf
Autor:
Harvilla, Mark J., Stern, Richard M.
Publikováno v:
2015 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2015, p221-225, 5p
Autor:
Harvilla, Mark J., Stern, Richard M.
Publikováno v:
2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 1/ 1/2012, p4697-4700, 4p
Autor:
Harvilla, Mark J.
Publikováno v:
Dissertations.
The performance, reliability, and ubiquity of automatic speech recognition systems has flourished in recent years due to steadily increasing computational power and technological innovations such as hidden Markov models, weighted finite-state transdu
Externí odkaz:
http://repository.cmu.edu/dissertations/437
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1437&context=dissertations
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1437&context=dissertations
Publikováno v:
2015 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2015, pA1-A31, 31p