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NIPS
1997
15 years 8 months ago
Nonparametric Model-Based Reinforcement Learning
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Christopher G. Atkeson
AUTOMATICA
2002
97views more  AUTOMATICA 2002»
15 years 6 months ago
Frequency-domain subspace system identification using non-parametric noise models
- In the general case of non-uniformly spaced frequency domain data and/or arbitrarily colored disturbing noise, the frequency domain subspace identification algorithms described i...
Rik Pintelon
ICPR
2008
IEEE
16 years 7 months ago
On segmentation evaluation metrics and region counts
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done us...
Allan Hanbury, Julian Stöttinger
ICPR
2008
IEEE
16 years 1 months ago
Constrained clustering by a novel graph-based distance transformation
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Kai Rothaus, Xiaoyi Jiang
NCA
2008
IEEE
16 years 28 days ago
Supporting Linearizable Semantics in Replicated Databases
This paper proposes a novel database replication algorithm that offers strong consistency (linearizable semantics) and allows reads and non-conflicting writes to execute in para...
Luís Rodrigues, Nuno Carvalho, Emili Miedes