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» On Bounded Queries and Approximation
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NIPS
1998
14 years 11 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 4 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 4 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 1 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
14 years 11 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