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ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
ICML
1995
IEEE
14 years 11 months ago
1995
IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
COLT
1994
Springer
14 years 2 months ago
1994
Springer
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
OSDI
1996
ACM
14 years 3 days ago
1996
ACM
This paper describes a novel approach to providingmodular and extensible operating system functionality and encapsulated environments based on a synthesis of microkernel and virtu...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
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...