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» On the Robust Single Machine Scheduling Problem
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ICML
2002
IEEE
14 years 8 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
MIDDLEWARE
2004
Springer
14 years 23 days ago
Application partitioning and hierarchical management in grid environments
Several works on grid computing have been proposed in the last years. However, most of them, including available software, can not deal properly with some issues related to contro...
Patrícia Kayser Vargas, Inês de Castr...
ICALP
2011
Springer
12 years 11 months ago
Vertex Cover in Graphs with Locally Few Colors
In [13], Erd˝os et al. defined the local chromatic number of a graph as the minimum number of colors that must appear within distance 1 of a vertex. For any ∆ ≥ 2, there are ...
Fabian Kuhn, Monaldo Mastrolilli
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 5 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
ICPR
2010
IEEE
13 years 5 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu