Matteo Gagliolo

	2009
13		Matteo Gagliolo, Catherine Legrand, Mauro Birattari: Mixed-Effects Modeling of Optimisation Algorithm Performance. SLS 2009: 150-154
	2008
12		Matteo Gagliolo, Jürgen Schmidhuber: Towards Distributed Algorithm Portfolios. DCAI 2008: 634-643
11		Matteo Gagliolo, Jürgen Schmidhuber: Algorithm Selection as a Bandit Problem with Unbounded Losses CoRR abs/0807.1494: (2008)
	2007
10		Matteo Gagliolo, Jürgen Schmidhuber: Learning Restart Strategies. IJCAI 2007: 792-797
9		Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez: Training Recurrent Networks by Evolino. Neural Computation 19(3): 757-779 (2007)
8		Matteo Gagliolo: Universal search. Scholarpedia 2(11): 2575 (2007)
	2006
7		Matteo Gagliolo, Jürgen Schmidhuber: Impact of Censored Sampling on the Performance of Restart Strategies. CP 2006: 167-181
6		Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. ESANN 2006: 593-598
5		Matteo Gagliolo, Jürgen Schmidhuber: Learning dynamic algorithm portfolios. Ann. Math. Artif. Intell. 47(3-4): 295-328 (2006)
	2005
4		Matteo Gagliolo, Jürgen Schmidhuber: A Neural Network Model for Inter-problem Adaptive Online Time Allocation. ICANN (2) 2005: 7-12
3		Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines CoRR abs/cs/0512062: (2005)
	2004
2		Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber: Adaptive Online Time Allocation to Search Algorithms. ECML 2004: 134-143
	2002
1		Davide Anguita, Matteo Gagliolo: MDL Based Model Selection for Relevance Vector Regression. ICANN 2002: 468-473

Coauthor Index

1	Davide Anguita	[1]
2	Mauro Birattari	[13]
3	Faustino J. Gomez	[3] [6] [9]
4	Catherine Legrand	[13]
5	Jürgen Schmidhuber	[2] [3] [4] [5] [6] [7] [9] [10] [11] [12]
6	Daan Wierstra	[3] [6] [9]
7	Viktor Zhumatiy	[2]

Colors in the list of coauthors