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PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
15 years 11 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
SPAA
2010
ACM
15 years 10 months ago
Fast distributed approximation algorithms for vertex cover and set cover in anonymous networks
We present a distributed algorithm that finds a maximal edge packing in O(∆ + log∗ W) synchronous communication rounds in a weighted graph, independent of the number of nodes...
Matti Åstrand, Jukka Suomela
ICALP
2007
Springer
15 years 9 months ago
Efficient Algorithms for Constant Well Supported Approximate Equilibria in Bimatrix Games
Abstract. In this work we study the tractability of well supported approximate Nash Equilibria (SuppNE in short) in bimatrix games. In view of the apparent intractability of constr...
Spyros C. Kontogiannis, Paul G. Spirakis
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
16 years 5 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
ISLPED
2007
ACM
123views Hardware» more  ISLPED 2007»
15 years 6 months ago
Approximation algorithms for power minimization of earliest deadline first and rate monotonic schedules
We address power minimization of earliest deadline first and ratemonotonic schedules by voltage and frequency scaling. We prove that the problems are NP-hard, and present (1+ ) f...
Sushu Zhang, Karam S. Chatha, Goran Konjevod