Name
Abstract | ||
|---|---|---|
In this paper we try to organize machine teaching as a coherent set of ideas. Each idea is presented as varying along a dimension. The collection of dimensions then form the problem space of machine teaching, such that existing teaching problems can be characterized in this space. We hope this organization allows us to gain deeper understanding of individual teaching problems, discover connections among them, and identify gaps in the field. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Learning | Human–computer interaction,Artificial intelligence,Problem space,Machine learning,Mathematics |
DocType | Volume | Citations |
Journal | abs/1801.05927 | 6 |
PageRank | References | Authors |
0.41 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojin Zhu | 1 | 3586 | 222.74 |
| Adish Singla | 2 | 397 | 33.45 |
| sandra zilles | 3 | 427 | 47.94 |
| Anna N. Rafferty | 4 | 12 | 3.03 |