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ICML
2009
IEEE
16 years 7 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ACE
2004
188views Education» more  ACE 2004»
15 years 8 months ago
A Computing Education Vision for the Sight Impaired
Vision is the main sensory modality employed in learning. Teaching materials in the areas of information technology and computer engineering are highly visual in nature and vision...
Iain Murray, Helen Armstrong
ML
2002
ACM
100views Machine Learning» more  ML 2002»
15 years 6 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
SIGMOD
2003
ACM
125views Database» more  SIGMOD 2003»
16 years 6 months ago
An Optimal and Progressive Algorithm for Skyline Queries
The skyline of a set of d-dimensional points contains the points that are not dominated by any other point on all dimensions. Skyline computation has recently received considerabl...
Dimitris Papadias, Yufei Tao, Greg Fu, Bernhard Se...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
16 years 1 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre