On rlung in the 'Phags pa dam pa'i chos dram pa nye bar gzhags pa

Open Issues on Phags-pa Encoding

Doc # Title Note N2666 Principles on Encoding Phags-pa Script initial comments on N2622, prior to WG2 M44 SC2/N3730 Summary of Voting (PDAM1) China comments on Phags-pa accepted for PDAM1 (≡ N2622), prior to WG2 M45 N2706 Summary of Voting (Amd. 1 subdivision) China comments on N2622 (same comments provided in SC2/N3730) N2745 HPhags-pa script encoding alternate proposal from China and Mongolia...

Some Problems on the Encoding of Phags-pa Script

The 45 WG2 meeting held in June, 2004, adopted N2829 in which is mentioned, “The ad hoc discussion on encoding Phags-pa was unable to resolve all of the ballot comments on Phags-pa. There were many complex and difficult questions for which much further communication and discussion will be required. ” “With reference to changes requested to Phags-Pa encoding in PDAM 1 ballot comments, and the de...

Some Problems on the Encoding of Phags-pa Script

The 45 WG2 meeting held in June, 2004, adopted N2829 in which is mentioned, “The ad hoc discussion on encoding Phags-pa was unable to resolve all of the ballot comments on Phags-pa. There were many complex and difficult questions for which much further communication and discussion will be required. ” “With reference to changes requested to Phags-Pa encoding in PDAM 1 ballot comments, and the de...

On (pa, p, pa, pa-1)-Relative Difference Sets

Pa Learning Pa Algorithm with Unlabeled Data

We analyze the combination of online learning and semisupervised learning. Online learning is an approach to supervised machine learning, which is effective at processing a large amount of training data. Semi-supervised learning is employed when a large amount of unlabeled data is available. While both setting occurs frequently in real applications of machine learning, thus far, their theoretic...