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» The Localization Hypothesis and Machines
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106
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COMPSAC
2002
IEEE
15 years 5 months ago
Achieving Scalability in Hierarchical Location Services
Services for locating mobile objects are often organized as a distributed search tree. The advantage of such an organization is that the service can easily scale as a distributed ...
Maarten van Steen, Gerco Ballintijn
ECML
2007
Springer
15 years 4 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
98
Voted
DSMML
2004
Springer
15 years 4 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington
132
Voted
ECTEL
2009
Springer
14 years 10 months ago
CAMera for PLE
Successful self-regulated learning in a personalized learning environment (PLE) requires self-monitoring of the learner and reflection of learning behaviour. We introduce a tool ca...
Hans-Christian Schmitz, Maren Scheffel, Martin Fri...
125
Voted
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 8 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe