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APPROX
2007
Springer
137views Algorithms» more  APPROX 2007»
15 years 6 months ago
A Knapsack Secretary Problem with Applications
We consider situations in which a decision-maker with a fixed budget faces a sequence of options, each with a cost and a value, and must select a subset of them online so as to ma...
Moshe Babaioff, Nicole Immorlica, David Kempe, Rob...
ICASSP
2011
IEEE
14 years 3 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
HPDC
1995
IEEE
15 years 3 months ago
Loop Scheduling for Heterogeneity
In this paper, we study the problem of scheduling parallel loops at compile-time for a heterogeneous network of machines. We consider heterogeneity in three aspects of parallel pr...
Michal Cierniak, Wei Li, Mohammed Javeed Zaki
RTCSA
2007
IEEE
15 years 6 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
RTSS
2000
IEEE
15 years 4 months ago
An Incremental Approach to Scheduling during Overloads in Real-Time Systems
In this paper we propose a novel scheduling framework for a real-timeenvironmentthat experiences dynamic changes. Thisframework is capable of adjusting the system workload in incr...
Pedro Mejía-Alvarez, Rami G. Melhem, Daniel...