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211
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SAC
2009
ACM
16 years 2 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
GLOBECOM
2008
IEEE
15 years 7 months ago
Power Allocation for Cognitive Radios Based on Primary User Activity in an OFDM System
Efficient and reliable power allocation algorithm in Cognitive radio (CR) networks is a challenging problem. Traditional water-filling algorithm is inefficient for CR networks due ...
Ziaul Hasan, Ekram Hossain, Charles L. Despins, Vi...
276
Voted
AI
1998
Springer
15 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
JMLR
2008
151views more  JMLR 2008»
15 years 7 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
191
Voted
PPSN
2004
Springer
16 years 19 days ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik