Sciweavers

2875 search results - page 129 / 575
» Distributed Reactive Machines
Sort
View
ESANN
2007
15 years 2 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
129
Voted
MP
2007
145views more  MP 2007»
15 years 9 days ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz
STOC
2005
ACM
156views Algorithms» more  STOC 2005»
16 years 1 months ago
Convex programming for scheduling unrelated parallel machines
We consider the classical problem of scheduling parallel unrelated machines. Each job is to be processed by exactly one machine. Processing job j on machine i requires time pij . ...
Yossi Azar, Amir Epstein
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
13 years 8 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 1 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang