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» On Bounded Queries and Approximation
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NIPS
1998
15 years 5 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
TON
2010
127views more  TON 2010»
14 years 11 months ago
Approximation Algorithms for Wireless Link Scheduling With SINR-Based Interference
In this paper, we consider the classical problem of link scheduling in wireless networks under an accurate interference model, in which correct packet reception at a receiver node ...
Douglas M. Blough, Giovanni Resta, Paolo Santi
SECON
2007
IEEE
15 years 10 months ago
Approximation Algorithm for Base Station Placement in Wireless Sensor Networks
Base station location has significant impact on network lifetime performance for a sensor network. For a multihop sensor network, this problem is particular challenging as we need ...
Yi Shi, Yiwei Thomas Hou
APPROX
2006
Springer
179views Algorithms» more  APPROX 2006»
15 years 8 months ago
Adaptive Sampling and Fast Low-Rank Matrix Approximation
We prove that any real matrix A contains a subset of at most 4k/ + 2k log(k + 1) rows whose span "contains" a matrix of rank at most k with error only (1 + ) times the er...
Amit Deshpande, Santosh Vempala
NIPS
2007
15 years 5 months ago
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
Kyomin Jung, Devavrat Shah