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JACM
2006
99views more  JACM 2006»
13 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
PODC
2009
ACM
14 years 8 months ago
Oblivious interference scheduling
In the interference scheduling problem, one is given a set of n communication requests described by pairs of points from a metric space. The points correspond to devices in a wire...
Alexander Fanghänel, Berthold Vöcking, H...
COCOA
2009
Springer
14 years 2 months ago
Matching Techniques Ride to Rescue OLED Displays
Combinatorial optimization problems have recently emerged in the design of controllers for OLED displays. The objective is to decompose an image into subframes minimizing the addre...
Andreas Karrenbauer
NETGAMES
2006
ACM
14 years 1 months ago
Applicability of group communication for increased scalability in MMOGs
Massive multiplayer online games (MMOGs) are today the driving factor for the development of distributed interactive applications, and they are increasing in size and complexity. ...
Knut-Helge Vik, Carsten Griwodz, Pål Halvors...
IJON
2006
90views more  IJON 2006»
13 years 7 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...