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ATAL
2007
Springer
14 years 3 months ago
Combinatorial resource scheduling for multiagent MDPs
Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...
Dmitri A. Dolgov, Michael R. James, Michael E. Sam...
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
14 years 19 days ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
HM
2005
Springer
152views Optimization» more  HM 2005»
14 years 2 months ago
3D Inter-subject Medical Image Registration by Scatter Search
Image registration is a very active research area in computer vision, namely it is used to find a transformation between two images taken under different conditions. Point matchi...
Oscar Cordón, Sergio Damas, Jose Santamar&i...
NIPS
2007
13 years 10 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye