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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 2 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
ATAL
2007
Springer
16 years 1 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
PODC
2005
ACM
16 years 1 months ago
Maximal independent sets in radio networks
We study the distributed complexity of computing a maximal independent set (MIS) in radio networks with completely unknown topology, asynchronous wake-up, and no collision detecti...
Thomas Moscibroda, Roger Wattenhofer
SIGCOMM
2005
ACM
16 years 1 months ago
Fast hash table lookup using extended bloom filter: an aid to network processing
Hash table is used as one of the fundamental modules in several network processing algorithms and applications such as route lookup, packet classification, per-flow state manage...
Haoyu Song, Sarang Dharmapurikar, Jonathan S. Turn...
AADEBUG
2005
Springer
16 years 1 months ago
Experimental evaluation of using dynamic slices for fault location
Dynamic slicing algorithms have been considered to aid in debugging for many years. However, as far as we know, no detailed studies on evaluating the benefits of using dynamic sl...
Xiangyu Zhang, Haifeng He, Neelam Gupta, Rajiv Gup...