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NIPS
1997
15 years 3 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 1 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 2 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
103
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ICPR
2008
IEEE
15 years 8 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
15 years 8 months 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