A Regression Dependent Iterative Algorithm for Optimizing Top-K Selection in Simulation Query Language

2012 ◽  
Vol 4 (3) ◽  
pp. 12-24
Author(s):  
Susan Farley ◽  
Alexander Brodsky ◽  
Chun-Hung Chen
Keyword(s):  
Stochastic Simulation ◽  
Iterative Algorithm ◽  
Query Language ◽  
Budget Allocation ◽  
Allocation Scheme ◽  
Probability Functions ◽  
Processing Cost

In this paper the authors propose an extension of the algorithm General Optimal Regression Budget Allocation ScHeme (GORBASH) for iteratively optimizing simulation budget allocation while minimizing the total processing cost for top-k queries. They also implement this algorithm as part of SimQL: an extension of SQL that includes probability functions expressed through stochastic simulation.

Processing cost and its consequences

2016 ◽  
Vol 39 ◽  
Author(s):  
William O'Grady
Keyword(s):  
Word Order ◽  
Proximity Effects ◽  
Processing Cost

AbstractI focus on two challenges that processing-based theories of language must confront: the need to explain why language has the particular properties that it does, and the need to explain why processing pressures are manifested in the particular way that they are. I discuss these matters with reference to two illustrative phenomena: proximity effects in word order and a constraint on contraction.

Stochastic simulation of cell cycle

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
P. Luvsantseren ◽  
K. Lochin ◽  
E. Purevjav
Keyword(s):  
Cell Cycle ◽  
Stochastic Simulation
Sign in / Sign up

Export Citation Format

Share Document