ADVANCES IN QUANTUM KEY DISTRIBUTION AND QUANTUM RANDOMNESS GENERATION
... progress in quantum key distribution and quantum randomness generation Quantum key distribution, which is motivated by the increasing need to communicate securely, is on the verge of becoming an ... from the observed data and may be of independent interest In the field of quantum randomness generation, there are two main tasks as mentioned before: randomness exp...
Ngày tải lên: 15/09/2015, 21:49
... could inform us! • Leveraging social media to drive marketing relationships – – – – – Viral marketing via the Internet Social Networking Sites Blogging Podcasting Instant Messaging Interdisciplinary ... theory and practice? A Look at the Future • • How current trends reflect the importance of SNT to marketing thought and practice? How could social network theory...
Ngày tải lên: 24/10/2013, 20:15
... signal in the reconstruction process An ECG signal frame is modeled as members of the sets labeled R and K and EURASIP Journal on Advances in Signal Processing the frame-scaling coefficient in the ... electrical and biomedical engineering in the University of Connecticut In 1972, he returned with his family to Israel, and joined the newly formed Department of Electri...
Ngày tải lên: 22/06/2014, 19:20
báo cáo khoa học: "Recent advances in gastrointestinal oncology updates and insights from the 2009 annual meeting of the American Society of Clinical Oncology" doc
... J Clin Oncol (Meeting Abstracts) 2009, 27(18S):LBA4007 56 Javle M, Hsueh CT: Updates in Gastrointestinal Oncology - insights from the 2008 44th annual meeting of the American Society of Clinical ... presentations in gastrointestinal oncology from 2009 annual meeting of ASCO The key findings are summarized as the followings, and will lead t...
Ngày tải lên: 10/08/2014, 22:20
Báo cáo khoa học: "Words and Echoes: Assessing and Mitigating the Non-Randomness Problem in Word Frequency Distribution Modeling" ppt
... between X and rMSE Focusing for now on the circles (pinpointing the ZM, fZM and GIGP models), we see that there is instead a negative correlation between goodness of fit on the training set and quality ... overfitting the training set, leading to poorer performance than the simpler ZM on unseen data We turn now to what we think is the main cause for this overfitting Non-random...
Ngày tải lên: 17/03/2014, 04:20