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AIPS
2000
15 years 8 months ago
On-line Scheduling via Sampling
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
Hyeong Soo Chang, Robert Givan, Edwin K. P. Chong
ICCV
2011
IEEE
14 years 6 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...
SWAT
2004
Springer
125views Algorithms» more  SWAT 2004»
15 years 12 months ago
The Optimal Online Algorithms for Minimizing Maximum Lateness
It is well known that the Earliest-Deadline-First (EDF) and the Least-Laxity-First (LLF) algorithms are optimal algorithms for the problem of preemptively scheduling jobs that arr...
Patchrawat Uthaisombut
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 10 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg
WSC
2008
15 years 9 months ago
A particle filtering framework for randomized optimization algorithms
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
Enlu Zhou, Michael C. Fu, Steven I. Marcus