| C94-1049 | their vectors ( or actually the | inner product | of their normalized vectors ) |
| C04-1059 | calculated proportional to the | inner product | of the two vectors . All sentences |
| C04-1064 | space . WSK 's value is just the | inner product | of the two vectors . For instance |
| D08-1112 | Nbest labelings . Second , the | inner product | in the ratio calculation ( 4 |
| D11-1102 | that SVM training depends on the | inner product | between instances . Kernel methods |
| D09-1163 | distance is normally the cosine or | inner product | measure between two vectors . |
| C04-1070 | kernel function that expresses the | inner product | between two examples in the desired |
| D11-1023 | stream such as point , range and | inner product | queries to be approximately answered |
| D09-1084 | queries is then defined as the | inner product | between the corresponding centroid |
| D09-1142 | implicitly , that is by specifying the | inner product | between each pair of points rather |
| D11-1058 | operator ( · ) denotes the | inner product | with respect to the subscripts |
| C02-1053 | Vector where " * " represents the | inner product | . In general , such a hyperplane |
| D08-1114 | L2 norm , and hxi , xji is the | inner product | of xi and xj . The first similarity |
| A97-1043 | of Pi and Pi is measured by the | inner product | of their normalised vectors and |
| D09-1142 | where < . , . > denotes the | inner product | in F . In the case of binary |
| C04-1070 | ( vectorxi , vectorz ) is the | inner product | between the example vectors . |
| D11-1058 | dot operators here stand for the | inner product | with respect to the index sets |
| C02-1086 | affect positively to the vector | inner product | value . Therefore , since this |
| C02-1072 | term-toterm similarity is based on the | inner products | between two row vectors of A |
| C02-1086 | document is calculated by vector | inner product | of the query and document vectors |
