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ICML
2008
IEEE
14 years 9 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ICRA
1993
IEEE
104views Robotics» more  ICRA 1993»
14 years 1 months ago
Numerical Determination of Optimal Non-Holonomic Paths in the Presence of Obstacles
This paper addresses the problem of numerically finding an optimal path for a robot with non-holonomic constraints. A car like robot, whose turning radius is lower bounded is cons...
Sudhaker Samuel, S. Sathiya Keerthi
EMNLP
2006
13 years 10 months ago
Incremental Integer Linear Programming for Non-projective Dependency Parsing
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
Sebastian Riedel, James Clarke
ICML
2009
IEEE
14 years 3 months ago
Active learning for directed exploration of complex systems
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
Michael C. Burl, Esther Wang
ACL
1998
13 years 10 months ago
Learning Intonation Rules for Concept to Speech Generation
In this paper, we report on an effort to provide a general-purpose spoken language generation tool for Concept-to-Speech (CTS) applications by extending a widely used text generat...
Shimei Pan, Kathleen McKeown