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» The complexity of approximating entropy
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CHARME
1997
Springer
105views Hardware» more  CHARME 1997»
15 years 9 months ago
Simulation-based verification of network protocols performance
Formal verification techniques need to deal with the complexity of the systems rified. Most often, this problem is solved by taking an abstract model of the system and aiming at a...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Pa...
ICALP
2011
Springer
14 years 9 months ago
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs
We are given an interval graph G = (V, E) where each interval I ∈ V has a weight wI ∈ R+. The goal is to color the intervals V with an arbitrary number of color classes C1, C2...
Tim Nonner
GIS
2006
ACM
16 years 6 months ago
Computing longest duration flocks in trajectory data
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...
Joachim Gudmundsson, Marc J. van Kreveld
181
Voted
STOC
2007
ACM
181views Algorithms» more  STOC 2007»
16 years 6 months ago
How to rank with few errors
We present a polynomial time approximation scheme (PTAS) for the minimum feedback arc set problem on tournaments. A simple weighted generalization gives a PTAS for KemenyYoung ran...
Claire Kenyon-Mathieu, Warren Schudy
152
Voted
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
16 years 12 days ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone