Name
Abstract | ||
|---|---|---|
The definitions of hybrid empirical risk functional, hybrid excepted risk functional and hybrid empirical risk minimization principle in chance space are proposed; The Khintchine law of large numbers based on hybrid variable in chance space is proved; And the key theorem of learning theory based on hybrid variable in chance space is proved. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLC.2011.6016929 | ICMLC |
Keywords | Field | DocType |
hybrid variable,chance space,learning (artificial intelligence),hybrid excepted risk functional,hybrid empirical risk minimization,key theorem,khintchine law,learning theory,empirical risk minimization principle,minimisation,law of large numbers,risk management,convergence,empirical risk minimization,cybernetics,uncertainty,learning artificial intelligence | Convergence (routing),Mathematical optimization,Computer science,Learning theory,Empirical risk minimization,Law of large numbers,Risk management,Minimisation (psychology),Statistical learning,Artificial intelligence,Machine learning,Cybernetics | Conference |
Volume | Issue | ISSN |
3 | null | 2160-133X |
ISBN | Citations | PageRank |
978-1-4577-0305-8 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaojing Sun | 1 | 1 | 1.11 |
| Chao Wang | 2 | 895 | 190.04 |
| Ming-Hu Ha | 3 | 137 | 22.51 |
| Dazeng Tian | 4 | 210 | 7.34 |