Sciweavers

1199 search results - page 98 / 240
» How to Compare the Power of Computational Models
Sort
View
AMAI
2004
Springer
15 years 11 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
CAISE
1995
Springer
15 years 10 months ago
Hypertext Version Management in an Actor-based Framework
In this work we discuss a number of issues for the design of hypertext systems in an actor-based model of computation. We examine how the "traditional" basic concepts whi...
Antonina Dattolo, Vincenzo Loia
SIGOPS
2010
186views more  SIGOPS 2010»
15 years 4 months ago
Are clouds ready for large distributed applications?
Cloud computing carries the promise of providing powerful ls and abstractions that could transform the way IT services are delivered today. In order to establish the readiness of ...
Kunwadee Sripanidkulchai, Sambit Sahu, Yaoping Rua...
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
15 years 12 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta
ENGL
2007
109views more  ENGL 2007»
15 years 6 months ago
Using Neural Network for DJIA Stock Selection
—This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the ...
Tong-Seng Quah