Name
Abstract | ||
|---|---|---|
We present some problems with geometric characterizationsthat arise naturally in practical applications ofmachine learning. Our motivation comes from a wellknown machine learning problem, the problem of computingdecision trees. Typically one is given a datasetof positive and negative points, and has to compute adecision tree that fits it. The points are in a low dimensionalspace, and the data are collected experimentally.In most practical solutions heuristic algorithms are used.To... |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1007/BFb0014490 | WACG |
Keywords | DocType | ISBN |
geometric problems,machine learning | Conference | 3-540-61785-X |
Citations | PageRank | References |
2 | 0.40 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David P. Dobkin | 1 | 103 | 18.60 |
| Dimitrios Gunopulos | 2 | 7171 | 715.85 |