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» Learning Generative Models via Discriminative Approaches
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ATAL
2008
Springer
15 years 2 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
ICAC
2006
IEEE
15 years 6 months ago
Using Autonomic Principles to Manage Converged Services in Next Generation Networks
Network resources will always be heterogeneous, and thus have different functionalities and programming models. This adversely affects interoperability. Seamless Mobility is one e...
John Strassner
JMLR
2002
111views more  JMLR 2002»
15 years 9 days ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
CAV
2010
Springer
176views Hardware» more  CAV 2010»
15 years 3 months ago
Lazy Annotation for Program Testing and Verification
Abstract. We describe an interpolant-based approach to test generation and model checking for sequential programs. The method generates Floyd/Hoare style annotations of the program...
Kenneth L. McMillan
106
Voted
ICML
2009
IEEE
16 years 1 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...