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Fusion, Propagation, and Structuring in Belief Networks
 ARTIFICIAL INTELLIGENCE
, 1986
"... Belief networks are directed acyclic graphs in which the nodes represent propositions (or variables), the arcs signify direct dependencies between the linked propositions, and the strengths of these dependencies are quantified by conditional probabilities. A network of this sort can be used to repre ..."
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Cited by 480 (8 self)
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Belief networks are directed acyclic graphs in which the nodes represent propositions (or variables), the arcs signify direct dependencies between the linked propositions, and the strengths of these dependencies are quantified by conditional probabilities. A network of this sort can be used
A scaled conjugate gradient algorithm for fast supervised learning
 NEURAL NETWORKS
, 1993
"... A supervised learning algorithm (Scaled Conjugate Gradient, SCG) with superlinear convergence rate is introduced. The algorithm is based upon a class of optimization techniques well known in numerical analysis as the Conjugate Gradient Methods. SCG uses second order information from the neural netwo ..."
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Cited by 441 (0 self)
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FletcherGoldfarbShanno memoryless quasiNewton algorithm (BFGS) [1]. SCG yields a speedup of at least an order of magnitude relative to BP. The speedup depends on the convergence criterion, i.e., the bigger demand for reduction in error the bigger the speedup. SCG is fully automated including no user dependent parameters
Domain dependent statistical machine translation
 In Proceedings of the MT Summit XI
, 2007
"... While statistical machine translation (SMT) has advanced significantly with better modeling techniques and much more training data, domain specific SMT has received much less attention and leaves much room for further improvements. In this work, we address domain issues and propose to use the combin ..."
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Cited by 6 (0 self)
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it easy, cheap and efficient to capture as many domains as required. Domain adaptation during decoding is approached with source text classification methods. Our results on the GALE tasks show significant improvements with the proposed domain dependent translation than domain independent translation. 1.
Using DomainDependent Knowledge in Stratego
, 2009
"... The search space of the game of Stratego is complex, because it is a game of imperfect information. In order to deal more efficiently with this problem, domaindependent knowledge can be used. One possibility is to construct an evaluation function which determines the value of a position in the g ..."
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The search space of the game of Stratego is complex, because it is a game of imperfect information. In order to deal more efficiently with this problem, domaindependent knowledge can be used. One possibility is to construct an evaluation function which determines the value of a position
Waveletbased statistical signal processing using hidden Markov models
 IEEE TRANSACTIONS ON SIGNAL PROCESSING
, 1998
"... Waveletbased statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients as independent or jointly Gaussian. These models are unrealistic for many realworld signals. In this paper, we develop a new framework for statistical signal processing b ..."
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Cited by 410 (50 self)
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based on waveletdomain hidden Markov models (HMM’s) that concisely models the statistical dependencies and nonGaussian statistics encountered in realworld signals. Waveletdomain HMM’s are designed with the intrinsic properties of the wavelet transform in mind and provide powerful, yet tractable
DomainDependent Knowledge in Answer Set Planning
, 2002
"... In this paper we consider three different kinds of domain dependent control knowledge (temporal, procedural and HTNbased) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (LPASS). We show that the addition of these th ..."
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Cited by 21 (10 self)
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In this paper we consider three different kinds of domain dependent control knowledge (temporal, procedural and HTNbased) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (LPASS). We show that the addition
The Retinoblastoma Protein and CellCycle Control
 Cell
, 1995
"... pRB, the product of the retinoblastoma tumor suppressor gene, operates in the midst of the cell cycle clock apparatus. Its main role is to act as a signal transducer connecting the cell cycle clock with the transcriptional machinery. In this role, pRB allows the clock to control the expression of b ..."
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Cited by 422 (4 self)
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pRB, the product of the retinoblastoma tumor suppressor gene, operates in the midst of the cell cycle clock apparatus. Its main role is to act as a signal transducer connecting the cell cycle clock with the transcriptional machinery. In this role, pRB allows the clock to control the expression of banks of genes that mediate advance of the cell through a critical phase of its growth cycle. Loss of pRB function deprives the clock and thus the cell of an important mechanism for braking cell proliferation through modulation of gene expression. pRB and the G1 Restriction Point pRB exerts most and perhaps all of its effects in a defined window of time in the first two thirds of the G1 phase of the cell cycle. As demonstrated by Pardee almost two decades ago, this is the time window during which the mam
DomainDependent Identification of Multiword Expressions
"... The identification of different kinds of multiword expressions require different solutions, on the other hand, there might be domainrelated differences in their frequency and typology. In this paper, we show how our methods developed for identifying noun compounds and light verb constructions can b ..."
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Cited by 1 (1 self)
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The identification of different kinds of multiword expressions require different solutions, on the other hand, there might be domainrelated differences in their frequency and typology. In this paper, we show how our methods developed for identifying noun compounds and light verb constructions can
Domain Dependent Natural Language Understanding
"... This paper describes a natural language understanding system tbr the domain of naive thermodynamics. The system transforms exercises formulated in (a subset of) Danish to a somewhat "adhoc" chosen meaning representation language. Given the representation of an exercise, a problem solver sh ..."
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This paper describes a natural language understanding system tbr the domain of naive thermodynamics. The system transforms exercises formulated in (a subset of) Danish to a somewhat "adhoc" chosen meaning representation language. Given the representation of an exercise, a problem solver
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