Matteo Gagliolo
According to our database^{1},
Matteo Gagliolo
authored at least 17 papers
between 2002 and 2014.
Collaborative distances:
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Bibliography
2014
Politics Matters: Dynamics of Interorganizational Networks among Immigrant Associations.
Proceedings of the Complex Networks V, 2014
2013
Task partitioning in a robot swarm: a study on the effect of communication.
Swarm Intelligence, 2013
2012
Improving wet clutch engagement with reinforcement learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Algorithm portfolio selection as a bandit problem with unbounded losses.
Ann. Math. Artif. Intell., 2011
2010
Algorithm Selection as a Bandit Problem with Unbounded Losses.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
2009
MixedEffects Modeling of Optimisation Algorithm Performance.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009
2008
Towards Distributed Algorithm Portfolios.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008
2007
Universal search.
Scholarpedia, 2007
Training Recurrent Networks by Evolino.
Neural Computation, 2007
Learning Restart Strategies.
Proceedings of the IJCAI 2007, 2007
2006
Learning dynamic algorithm portfolios.
Ann. Math. Artif. Intell., 2006
Dynamic Algorithm Portfolios.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006
Evolino for recurrent support vector machines.
Proceedings of the ESANN 2006, 2006
Impact of Censored Sampling on the Performance of Restart Strategies.
Proceedings of the Principles and Practice of Constraint Programming, 2006
2005
A Neural Network Model for Interproblem Adaptive Online Time Allocation.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
Adaptive Online Time Allocation to Search Algorithms.
Proceedings of the Machine Learning: ECML 2004, 2004
2002
MDL Based Model Selection for Relevance Vector Regression.
Proceedings of the Artificial Neural Networks, 2002