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COMPGEOM
2006
ACM
15 years 7 months ago
How slow is the k-means method?
The k-means method is an old but popular clustering algorithm known for its observed speed and its simplicity. Until recently, however, no meaningful theoretical bounds were known...
David Arthur, Sergei Vassilvitskii
95
Voted
SODA
2008
ACM
93views Algorithms» more  SODA 2008»
15 years 3 months ago
Fast load balancing via bounded best response
It is known that the dynamics of best response in an environment of non-cooperative users may converge to a good solution when users play sequentially, but may cycle far away from...
Baruch Awerbuch, Yossi Azar, Rohit Khandekar
ISIPTA
2003
IEEE
130views Mathematics» more  ISIPTA 2003»
15 years 6 months ago
Some Results on Generalized Coherence of Conditional Probability Bounds
Based on the coherence principle of de Finetti and a related notion of generalized coherence (g-coherence), we adopt a probabilistic approach to uncertainty based on conditional p...
Veronica Biazzo, Angelo Gilio, Giuseppe Sanfilippo
CORR
2008
Springer
189views Education» more  CORR 2008»
15 years 1 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
AAAI
1997
15 years 2 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht