Results 241 to 250 of about 3,817,942 (325)

Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation. [PDF]

BMC Med Educ
Obeid J, Bobier C, Gillham A, Omelianchuk A, Hurst D.   +4 more
europepmc   +1 more source

Extracting TNFi switching reasons and trajectories from real-world data using large language models. [PDF]

JAMIA Open
Miao BY, Binvignat M, Garcia-Agundez A, Bravo M, Williams CY, Miao CQ, Alaa A, Rudrapatna V, Butte AJ, Schmajuk G, Yazdany J.   +10 more
europepmc   +1 more source

Graph retrieval augmented large language models for facial phenotype associated rare genetic disease. [PDF]

NPJ Digit Med
Song J, Xu Z, He M, Feng J, Shen B.
europepmc   +1 more source

Training large language models on narrow tasks can lead to broad misalignment. [PDF]

Nature
Betley J, Warncke N, Sztyber-Betley A, Tan D, Bao X, Soto M, Srivastava M, Labenz N, Evans O.   +8 more
europepmc   +1 more source

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Punctured turbo code ensembles

Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674), 2004
We analyze the asymptotic performance of punctured turbo codes. The analysis is based on the union bound on the word error probability of maximum likelihood decoding for punctured turbo code ensembles averaged over all possible puncturing patterns and interleavers.
Ruoheng Liu, Predrag Spasojevic, Emina Soljanin   +2 more
openaire   +2 more sources

Recent Advances in Turbo Code Design and Theory

Proceedings of the IEEE, 2007
Branka Vucetic, Yonghui Li, Lance C Perez   +2 more
exaly   +2 more sources

Turbo Codes with Modified Code Matched Interleaver for Coded-Cooperation in Half-Duplex Wireless Relay Networks

Frequenz, 2015
Saqib Ejaz
exaly   +2 more sources

Improved Algorithms for the Determination of Turbo-Code Weight Distributions

IEEE Transactions on Communications, 2005
E Rosnes
exaly   +2 more sources