Results 251 to 260 of about 22,531,219 (286)

Bayesian probabilistic risk analysis

ACM SIGMETRICS Performance Evaluation Review, 1985
As modern business and financial institutions have come to rely more and more on large scale computers for management support, the magnitude of the risks and their potential consequences has increased correspondingly. In addition, large systems involving multiprocessing, resource sharing, and distributed processing have given rise to a new generation ...
Ali Mosleh, E. Richard Hilton, Peter S. Browne   +2 more
openaire   +2 more sources

Statistic Analysis for Probabilistic Processes

2009 24th Annual IEEE Symposium on Logic In Computer Science, 2009
We associate a statistical vector to a trace and a geometrical embedding to a Markov Decision Process, based on a distance on words, and study basic Membership and Equivalence problems. The Membership problem for a trace \textit{w} and a Markov Decision Process \textit{S} decides if there exists a strategy on \textit{S} which generates with high ...
Michel de Rougemont, Mathieu Tracol
openaire   +1 more source

A probabilistic analysis of loop programs

Computer Languages, 1989
The paper initiates a probabilistic analysis of loop programs that is based on the discovery that the Meyer-Ritchie upper bounds on the running times of loop programs are restrictions of probabilistic properties of stochastic networks. The idea of this probabilistic approach to the complexity problem of loop programs is that flow-graphs of loop ...
Manfred E. Szabo, E. J. Farkas
openaire   +1 more source

Probabilistic analysis of a grouping algorithm

Algorithmica, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D. F. Wong 0001, Edward M. Reingold
openaire   +3 more sources

Probabilistic Analysis

2015
This chapter provides the motivations behind the usage of probabilistic analysis in the domains of science and engineering. This is followed by a brief introduction of some of the foremost concepts of probabilistic analysis and the widely used probabilistic analysis techniques.
openaire   +1 more source

A Probabilistic Framework for Schedulability Analysis

2003
The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Response-time analysis is extended to incorporate a probabilistic characterisation of task arrivals and execution times.
Alan Burns 0001, Guillem Bernat, Ian Broster   +2 more
openaire   +1 more source

Probabilistic analysis of condition numbers

Proceedings of the 36th international symposium on Symbolic and algebraic computation, 2011
Condition numbers are well known in numerical linear algebra. It is less known that this concept also plays a crucial part in understanding the efficiency of algorithms in linear programming, convex optimization, and for solving systems of polynomial equations. Indeed, the running time of such algorithms may be often effectively bounded in terms of the
openaire   +1 more source

Probabilistic Risk Analysis Is Practical

Quality Management in Health Care, 2007
This article shows how health care organizations can analyze their reported near-miss and sentinel events using probabilistic risk analysis (PRA). The specific aims are to model risks and identify known hazards that threaten patient safety. This article provides an introduction to PRA. To demonstrate how the approach could work with small data sets, we
openaire   +2 more sources

DeepAR: Probabilistic forecasting with autoregressive recurrent networks

International Journal of Forecasting, 2020
Valentin Flunkert, Jan Gasthaus, Tim Januschowski   +2 more
exaly  

“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval

ACM Computing Surveys, 1998
Fabio Crestani, Mounia Lalmas
exaly