Name
Abstract | ||
|---|---|---|
In many applications, independence of event occurrences is assumed, even if there is evidence for dependence. Capturing dependence leads to complex models, and even if the complex models were superior, they fail to beat the simplicity and scalability of the independence assumption. Therefore, many models assume independence and apply heuristics to improve results. Theoretical explanations of the h... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/comjnl/bxv031 | The Computer Journal |
Keywords | Field | DocType |
probability theory,modelling of dependence assumptions,harmonic sum,generalizedbinomial probability,information retrieval,social networks | Harmonic series (mathematics),Social network,Computer science,Theoretical computer science,Probability theory,Harmony (color) | Journal |
Volume | Issue | ISSN |
58 | 11 | 0010-4620 |
Citations | PageRank | References |
0 | 0.34 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Roelleke | 1 | 224 | 29.78 |
| Andreas Kaltenbrunner | 2 | 613 | 50.64 |
| Ricardo Baeza-Yates | 3 | 6173 | 635.97 |