| P10-1076 | effect of αt is to scale the | weight updating | ( e.g. a larger αt means |
| P09-1054 | alternative ap - proach . The | weight updating | process is divided into two steps |
| P09-1054 | . In this paper , we call this | weight updating | method The implementation of |
| W00-1322 | algorithm with multiplicative | weight updating | for 2-class problems , which |
| W03-0426 | output layers for 100 iterations . | Weight updating | occurred after the second pass |
| P98-2138 | correctly is multiplied by 3/2 . This | weight updating | method is the same as the one |
| P13-1031 | implementation parallelizes decoding but | weight updating | is sequential . The core of our |
| P09-1054 | . In this paper , we call this | weight updating | method " SGD-L1 ( Naive ) " . |
| P98-2138 | ) . Winnow is a multiplicative | weight updating | and incremental algorithm ( Littlestone |
| P09-1054 | features significantly slows down the | weight updating | process . The second problem |
| P09-1054 | sample , which should slow down the | weight updating | process for the same reason discussed |
| W11-0328 | lookahead actions4 , although the | weight updating | procedure differs in several |
| W00-0706 | algorithm with multiplicative | weight updating | for 2-class problems . are " |
| D14-1012 | Asynchronous SGD ) for parallel | weight updating | . In this study , we set the |
| P09-1054 | if wi > 0 then 2 ( 4 ) This | weight updating | method penalizes the weight according |
