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CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 8 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
JMLR
2006
117views more  JMLR 2006»
13 years 8 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 8 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
WADS
2007
Springer
140views Algorithms» more  WADS 2007»
14 years 2 months ago
A Stab at Approximating Minimum Subadditive Join
Let (L, ∗) be a semilattice, and let c : L → [0, ∞) be monotone and increasing on L. We state the Minimum Join problem as: given size n sub-collection X of L and integer k w...
Staal A. Vinterbo
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
13 years 10 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa