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» Problems in the ontology of computer programs
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ATAL
2007
Springer
15 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
IPPS
2003
IEEE
15 years 3 months ago
Transparent Distributed Threads for Java
Remote method invocation in Java RMI allows the flow of control to pass across local Java threads and thereby span multiple virtual machines. However, the resulting distributed t...
Bernhard Haumacher, Thomas Moschny, Jürgen Re...
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 1 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
14 years 12 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
INFOCOM
2010
IEEE
14 years 8 months ago
Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs
—In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, p...
Hyoil Kim, Kang G. Shin