| 2008 |
|---|
| 12 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
Towards Distributed Algorithm Portfolios.
DCAI 2008: 634-643 |
| 11 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
Algorithm Selection as a Bandit Problem with Unbounded Losses
CoRR abs/0807.1494: (2008) |
| 2007 |
|---|
| 10 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
Learning Restart Strategies.
IJCAI 2007: 792-797 |
| 9 | EE | Jürgen Schmidhuber,
Daan Wierstra,
Matteo Gagliolo,
Faustino J. Gomez:
Training Recurrent Networks by Evolino.
Neural Computation 19(3): 757-779 (2007) |
| 8 | EE | Matteo Gagliolo:
Universal search.
Scholarpedia 2(11): 2575 (2007) |
| 2006 |
|---|
| 7 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
Impact of Censored Sampling on the Performance of Restart Strategies.
CP 2006: 167-181 |
| 6 | EE | Jürgen Schmidhuber,
Matteo Gagliolo,
Daan Wierstra,
Faustino J. Gomez:
Evolino for recurrent support vector machines.
ESANN 2006: 593-598 |
| 5 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
Learning dynamic algorithm portfolios.
Ann. Math. Artif. Intell. 47(3-4): 295-328 (2006) |
| 2005 |
|---|
| 4 | EE | Matteo Gagliolo,
Jürgen Schmidhuber:
A Neural Network Model for Inter-problem Adaptive Online Time Allocation.
ICANN (2) 2005: 7-12 |
| 3 | EE | Jürgen Schmidhuber,
Matteo Gagliolo,
Daan Wierstra,
Faustino J. Gomez:
Evolino for recurrent support vector machines
CoRR abs/cs/0512062: (2005) |
| 2004 |
|---|
| 2 | EE | Matteo Gagliolo,
Viktor Zhumatiy,
Jürgen Schmidhuber:
Adaptive Online Time Allocation to Search Algorithms.
ECML 2004: 134-143 |
| 2002 |
|---|
| 1 | EE | Davide Anguita,
Matteo Gagliolo:
MDL Based Model Selection for Relevance Vector Regression.
ICANN 2002: 468-473 |
