Name
Abstract | ||
|---|---|---|
This paper introduces multiple instance re- gression, a variant of multiple regression in which each data point may be described by more than one vector of values for the inde- pendent variables. The goals of this work are to (1) understand the computational com- plexity of the multiple instance regression task and (2) develop an ecien t algorithm that is superior to ordinary multiple regres- sion when applied to multiple instance data sets. |
Year | Venue | Keywords |
|---|---|---|
2001 | ICML | multiple instance regression,multiple regression |
Field | DocType | ISBN |
Regression,Computer science,Artificial intelligence,Machine learning | Conference | 1-55860-778-1 |
Citations | PageRank | References |
49 | 4.92 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumya Ray | 1 | 143 | 10.34 |
| David Page | 2 | 533 | 61.12 |