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» Approximate algorithms for neural-Bayesian approaches
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ATAL
2009
Springer
15 years 4 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 4 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ACIVS
2006
Springer
15 years 3 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
14 years 5 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas
EVOW
2010
Springer
15 years 4 months ago
WiMAX Network Planning Using Adaptive-Population-Size Genetic Algorithm
Abstract. IEEE 802.16, also known as WiMAX, is a new wireless access technology for currently increasing demand of wireless high-speed broadband service. Efficient and effective d...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf