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» Process modeling paradigms: an evaluation
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COLING
1990
15 years 7 months ago
Solving Ambiguities In The Semantic Representation Of Texts
One of the issues of Artificial Intelligence is the transfer of the knowledge conveyed by Natural Language into formalisms that a computer can interpret. In the Natural Language P...
Marie-Claude Landau
157
Voted
ICML
2010
IEEE
15 years 7 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
160
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 6 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
168
Voted
JASIS
2000
120views more  JASIS 2000»
15 years 6 months ago
Probabilistic datalog: Implementing logical information retrieval for advanced applications
In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
Norbert Fuhr
IJON
2010
189views more  IJON 2010»
15 years 4 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin