Name
Title | ||
|---|---|---|
Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case. |
Abstract | ||
|---|---|---|
This paper introduces a wide framework for online, i.e., time-adaptive, supervised multiregression tasks. The problem is formulated in a general infinite-dimensional reproducing kernel Hilbert space (RKHS). In this context, a fairly large number of nonlinear multiregression models fall as special cases, including the linear case. Any convex, continuous, and not necessarily differentiable function ... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TNNLS.2011.2178321 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Kernel,Training data,Hilbert space,Convex functions,MIMO,Loss measurement,Signal processing | Kernel (linear algebra),Mathematical optimization,Subgradient method,Computer science,Communication channel,MIMO,Differentiable function,Convex function,Reproducing kernel Hilbert space,Convex analysis | Journal |
Volume | Issue | ISSN |
23 | 2 | 2162-237X |
Citations | PageRank | References |
21 | 0.93 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantinos Slavakis | 1 | 583 | 40.76 |
| Pantelis Bouboulis | 2 | 171 | 11.05 |
| Sergios Theodoridis | 3 | 1353 | 106.97 |