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AAAI
2011
14 years 5 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
GECCO
2004
Springer
15 years 10 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
ECML
2007
Springer
15 years 11 months ago
Policy Gradient Critics
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
Daan Wierstra, Jürgen Schmidhuber
TWC
2010
14 years 11 months ago
Clustering and cluster-based routing protocol for delay-tolerant mobile networks
This research investigates distributed clustering scheme and proposes a cluster-based routing protocol for DelayTolerant Mobile Networks (DTMNs). The basic idea is to distributivel...
Ha Dang, Hongyi Wu
TKDE
2010
164views more  TKDE 2010»
15 years 3 months ago
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
—Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The fra...
Haibo Hu, Jianliang Xu, Dik Lun Lee