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ENTCS
2007
85views more  ENTCS 2007»
15 years 6 months ago
Proving Approximate Implementations for Probabilistic I/O Automata
In this paper we introduce the notion of approximate implementations for Probabilistic I/O Automata (PIOA) and develop methods for proving such relationships. We employ a task str...
Sayan Mitra, Nancy A. Lynch
MOBIHOC
2007
ACM
16 years 6 months ago
Approximation algorithms for longest-lived directional multicast communications in WANETs
Several centralized and distributed algorithms have been recently proposed to maximize the multicast lifetime for directional communications in wireless ad-hoc networks. Their per...
Song Guo, Oliver W. W. Yang, Victor C. M. Leung
PODC
2005
ACM
16 years 4 days ago
Facility location: distributed approximation
In this paper, we initiate the study of the approximability of the facility location problem in a distributed setting. In particular, we explore a trade-off between the amount of...
Thomas Moscibroda, Roger Wattenhofer
GIS
1999
ACM
15 years 11 months ago
A Provably Efficient Computational Model for Approximate Spatiotemporal Retrieval
: The paper is concerned with the effective and efficient processing of spatiotemporal selection queries under varying degrees of approximation. Such queries may employ operators l...
Vasilis Delis, Christos Makris, Spyros Sioutas
NIPS
1998
15 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller