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Ville Könönen
2010 – today
- 2011
[c11]Ville Könönen, Pekka Pääkkönen: Optimizing power consumption of always-on applications based on timer alignment. COMSNETS 2011: 1-8
[c10]Ville Könönen, Miikka Ermes, Jussi Liikka, Arttu Lämsä, Timo Rantalainen, Harri Paloheimo, Jani Mäntyjärvi: Anatomy of Automatic Mobile Carbon Footprint Calculator. GPC 2011: 84-93- 2010
[j4]Ville Könönen, Jani Mäntyjärvi, Heidi Similä, Juha Pärkkä, Miikka Ermes: Automatic feature selection for context recognition in mobile devices. Pervasive and Mobile Computing 6(2): 181-197 (2010)
[c9]Ville Antila, Jani Mäntyjärvi, Ville Könönen: Optimizing meeting scheduling in collaborative mobile systems through distributed voting. PerCom Workshops 2010: 238-243
2000 – 2009
- 2009
[c8]Janne Lahti, Helena Rivas, Jyrki Huusko, Ville Könönen: Simulation and Implementation of the Autonomic Service Mobility Framework. BIONETICS 2009: 65-76- 2008
[c7]Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé: A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) 2008: 379-390
[c6]Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé: Coordinated Exploration in Conflicting Multi-stage Games. KES (2) 2008: 391-402- 2006
[j3]Ville Könönen: Dynamic pricing based on asymmetric multiagent reinforcement learning. Int. J. Intell. Syst. 21(1): 73-98 (2006)- 2005
[j2]Ville Könönen: Gradient descent for symmetric and asymmetric multiagent reinforcement learning. Web Intelligence and Agent Systems 3(1): 17-30 (2005)- 2004
[j1]Ville Könönen: Asymmetric multiagent reinforcement learning. Web Intelligence and Agent Systems 2(2): 105-121 (2004)
[c5]- 2003
[c4]
[c3]Ville Könönen: Gradient Based Method for Symmetric and Asymmetric Multiagent Reinforcement Learning. IDEAL 2003: 68-75- 2002
[c2]- 2001
[c1]Pasi Luukka, Kalle Saastamoinen, Ville Könönen: A Classifier Based on the Maximal Fuzzy Similarity in the Generalized Lukasiewicz-Structure. FUZZ-IEEE 2001: 195-198
Coauthor Index
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last updated on 2013-03-21 22:31 CET by the dblp team



