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257
Dealingwith forward and backward jumps inworkflowmanagement systems
"... Abstract. Workflow management systems (WfMS) offer a promising technology for the realization of processcentered application systems. A deficiency of existing WfMS is their inadequate support for dealing with exceptional deviations from the standard procedure. In the ADEPT project, therefore, we ..."
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thorized users may dynamically deviate from the premodeled workflow at runtime as well in order to deal with unforeseen events. In this paper, we focus on forward and backward jumps needed in this context. We describe sophisticated modeling concepts for capturing deviations in workflow models already
A BackwardBending and ForwardFalling Semilog Model of Labour Supply
, 2015
"... This paper proposes a labour supply function that allows not only for backwardbending behaviour at high but also for forwardfalling behaviour at low wage rates. The proposed model adheres to the fundamentals of consumer theory and encompasses all wellknown and widely used semilog labour supply m ..."
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This paper proposes a labour supply function that allows not only for backwardbending behaviour at high but also for forwardfalling behaviour at low wage rates. The proposed model adheres to the fundamentals of consumer theory and encompasses all wellknown and widely used semilog labour supply
Prediction is Deduction but Explanation is Abduction
 Proceedings IJCAI 89
, 1989
"... This paper presents an approach to temporal reasoning in which prediction is deduction but explanation is abduction. It is argued that all causal laws should be expressed in the natural form effect if cause. Any given set of laws expressed in this way can be used for both forwards projection (predic ..."
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Cited by 155 (11 self)
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(prediction) and backwards projection (explanation), but abduction must be used for explanation whilst deduction is used for prediction. The approach described uses a shortened form of Kowalski and Sergot's Event Calculus and incorporates the assumption that properties known to hold must have
MultiResolution MeshBased Motion Estimation Using a "Backward in Forward" Tracking Method
, 2000
"... This paper introduces a meshbased motion estimation scheme for image sequences and nodal motion vectors optimization by using a multiresolution differential method. Because our final aim is mesh tracking throughout a video sequence, neither backward tracking nor forward tracking is well suited. Th ..."
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Cited by 1 (1 self)
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This paper introduces a meshbased motion estimation scheme for image sequences and nodal motion vectors optimization by using a multiresolution differential method. Because our final aim is mesh tracking throughout a video sequence, neither backward tracking nor forward tracking is well suited
ICNAAM header will be provided by the publisher Precision Increased Truncated Derivative Formulae in Terms of Forward and Backward Difference Operators
, 2005
"... Numerical differentiation can be accomplished by using the expression of differentiation operator in terms of forward, backward, or symmetric operators. The expressions are infinite series in one of these operators. However, unless an equally spaced infinite data are given, the entire expression of ..."
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in the meeting. Copyright line will be provided by the publisher 1 Increasing Accuracy In Numerical Differentiation Let us consider the well known shift (E), forward difference (∆), backward difference (∇), and differentiation or derivative (D) operators whose explicit definitions are given as Ef(x) ≡ f(x + h
InsideOutside Probability Computation for Belief Propagation
"... In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation for probabil ..."
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In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation
InsideOutside Probability Computation for Belief Propagation
"... In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation for probabil ..."
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In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation
InsideOutside Probability Computation for Belief Propagation
"... In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation for probabil ..."
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In this paper we prove that the wellknown correspondence between the forwardbackward algorithm for hidden Markov models (HMMs) and belief propagation (BP) applied to HMMs can be generalized to one between BP for junction trees and the generalized insideoutside probability computation
Exact Bayesian curve fitting and signal segmentation
 IEEE Trans. Signal Process
, 2005
"... Abstract—We consider regression models where the underlying functional relationship between the response and the explanatory variable is modeled as independent linear regressions on disjoint segments. We present an algorithm for perfect simulation from the posterior distribution of such a model, eve ..."
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Cited by 30 (7 self)
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to this problem. We demonstrate our algorithm on standard denoising problems, on a piecewise constant AR model, and on a speech segmentation problem. Index Terms—Changepoints, denoising, forwardbackward algorithm, linear regression, model uncertainty, perfect simulation. I.
A GRASP APPROACH TO THE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM
"... Abstract. In this paper we consider a wellknown NPhard resource constrained project scheduling problem. We develop an algorithm based on the new type of greedy heuristics. The heuristic supposes the solving of an auxiliary bottleneck problem forming the probabilistic strategy based on the optimal ..."
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Abstract. In this paper we consider a wellknown NPhard resource constrained project scheduling problem. We develop an algorithm based on the new type of greedy heuristics. The heuristic supposes the solving of an auxiliary bottleneck problem forming the probabilistic strategy based
Results 11  20
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257