Interactive Transfer Learning in Relational Domains
| dc.contributor.author | Kumaraswamy, Raksha | |
| dc.contributor.author | Ramanan, Nandini | |
| dc.contributor.author | Odom, Phillip | |
| dc.contributor.author | Natarajan, Sriraam | |
| dc.date.accessioned | 2021-04-23T09:34:09Z | |
| dc.date.available | 2021-04-23T09:34:09Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | We consider the problem of interactive transfer learning where a human expert provides guidance to the transfer learning algorithm that aims to transfer knowledge from a source task to a target task. One of the salient features of our approach is that we consider cross-domain transfer, i.e., transfer of knowledge across unrelated domains. We present an intuitive interface that allows for an expert to refine the knowledge in target task based on his/her expertise. Our results show that such guided transfer can effectively reduce the search space thus improving the efficiency and effectiveness of the transfer process. | de |
| dc.identifier.doi | 10.1007/s13218-020-00659-6 | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s13218-020-00659-6 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36297 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 34, No. 2 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Interactive Transfer Learning in Relational Domains | de |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 192 | |
| gi.citation.startPage | 181 |