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Maximum likelihood from incomplete data via the EM algorithm
 JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B
, 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
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Cited by 11972 (17 self)
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A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value
Implementing Iterative Algorithms with SPARQL
"... The SPARQL declarative query language includes innovative capabilities to match subgraph patterns within a semantic graph database, providing a powerful base upon which to implement complex graph algorithms for very large data. Iterative algorithms are useful in a wide variety of domains, in particu ..."
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The SPARQL declarative query language includes innovative capabilities to match subgraph patterns within a semantic graph database, providing a powerful base upon which to implement complex graph algorithms for very large data. Iterative algorithms are useful in a wide variety of domains
Randomized registers and iterative algorithms
 Distributed Computing
, 2005
"... We present three different specifications of a readwrite register that may occasionally return outofdate values — namely, a (basic) random register, a Prandom register, and a monotone random register. We show that these specifications are implemented by the probabilistic quorum algorithm of Malk ..."
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Cited by 6 (1 self)
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of Malkhi, Reiter, Wool, and Wright, and we illustrate how to program with such registers in the framework of Bertsekas, using the notation of Üresin and Dubois. Consequently, existing iterative algorithms for a significant class of problems (including solving systems of linear equations, finding shortest
ITERATIVE ALGORITHMS FOR MULTICHANNEL EQUALIZATION
"... A fast iterative algorithm, with computation based on the fast Fourier transform (FFT), is presented. It can be used to control a soundfield at several control points with a loudspeaker array from multiple reference signals. It designs an equalizer able to invert long FIR filters and which achieves ..."
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A fast iterative algorithm, with computation based on the fast Fourier transform (FFT), is presented. It can be used to control a soundfield at several control points with a loudspeaker array from multiple reference signals. It designs an equalizer able to invert long FIR filters and which achieves
An iterative algorithm for synthesizing invariants
 In Proc. 17th National Conference on Artificial Intelligence (AAAI’00), 806
"... We present a general algorithm for synthesizing state invariants that speed up automated planners and have other applications in reasoning about change. Invariants are facts that hold in all states that are reachable from an initial state by the application of a number of operators. In contrast to e ..."
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Cited by 49 (2 self)
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We present a general algorithm for synthesizing state invariants that speed up automated planners and have other applications in reasoning about change. Invariants are facts that hold in all states that are reachable from an initial state by the application of a number of operators. In contrast
Feedback in Iterative Algorithms
, 2005
"... When the nonnegative system of linear equations y = Px has no nonnegative exact solutions, blockiterative methods fail to converge, exhibiting, instead, subsequential convergence leading to a limit cycle of two or more distinct vectors. From the vectors of the limit cycle we extract new data, rep ..."
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approach: Can we show the existence of limit cycles for these other blockiterative algorithms? Does the sequence of successive limit cycles converge to a single vector? If so, which vector is it? 1
Iterative Algorithms for Graphical Models
, 2003
"... Probabilistic inference in Bayesian networks, and even reasoning within error bounds are known to be NPhard problems. Our research focuses on investigating approximate messagepassing algorithms inspired by Pearl's belief propagation algorithm and by variable elimination. We study the advantag ..."
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the advantages of bounded inference provided by anytime schemes such as MiniClustering (MC), and combine them with the virtues of iterative algorithms such as Iterative Belief Propagation (IBP). Our resulting hybrid algorithm Iterative JoinGraph Propagation (IJGP) is shown empirically to surpass
A fast iterative shrinkagethresholding algorithm with application to . . .
, 2009
"... We consider the class of Iterative ShrinkageThresholding Algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods is attractive due to its simplicity, however, they are also known to converge quite slowly. In this paper we present a Fast Iterat ..."
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Cited by 1058 (9 self)
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We consider the class of Iterative ShrinkageThresholding Algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class of methods is attractive due to its simplicity, however, they are also known to converge quite slowly. In this paper we present a Fast
Iterative algorithm · Sparse algorithm
"... FacetCube: a general framework for nonnegative tensor factorization ..."
Gaussian elimination as an iterative algorithm
 SIAM News
, 2013
"... Gaussian elimination for solving an n × n linear system of equations Ax = b is the archetypal direct method of numerical linear algebra. In this note we point out that GE has an iterative side too. We can’t resist beginning with a curious piece of history. The second most famous algorithm of numeric ..."
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Cited by 3 (3 self)
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Gaussian elimination for solving an n × n linear system of equations Ax = b is the archetypal direct method of numerical linear algebra. In this note we point out that GE has an iterative side too. We can’t resist beginning with a curious piece of history. The second most famous algorithm
Results 1  10
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