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» Terminating Decision Algorithms Optimally
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GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 9 months ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
150
Voted
TON
2010
171views more  TON 2010»
14 years 10 months ago
Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
Yan Wu, Zhoujia Mao, Sonia Fahmy, Ness B. Shroff
163
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CPAIOR
2011
Springer
14 years 7 months ago
Upgrading Shortest Paths in Networks
We introduce the Upgrading Shortest Paths Problem, a new combinatorial problem for improving network connectivity with a wide range of applications from multicast communication to ...
Bistra N. Dilkina, Katherine J. Lai, Carla P. Gome...
122
Voted
ICDE
2007
IEEE
125views Database» more  ICDE 2007»
15 years 9 months ago
Improved Buffer Size Adaptation through Cache/Controller Coupling
Database workloads seldom remain static. A system tuned by an expert for the current environment, might not always remain optimal. To deal with this situation, database systems ha...
Christian A. Lang, Bishwaranjan Bhattacharjee, Tim...
FOCS
2006
IEEE
15 years 9 months ago
Generalization of Binary Search: Searching in Trees and Forest-Like Partial Orders
We extend the binary search technique to searching in trees. We consider two models of queries: questions about vertices and questions about edges. We present a general approach t...
Krzysztof Onak, Pawel Parys