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VLSID
2007
IEEE
91views VLSI» more  VLSID 2007»
16 years 5 months ago
Reusing Learned Information in SAT-based ATPG
The robustness of engines for ATPG has to be improved to cope with the growing size of circuits. Recently, SAT-based ATPG approaches have been shown to be very robust even on larg...
Görschwin Fey, Rolf Drechsler, Tim Warode
PAMI
2006
127views more  PAMI 2006»
15 years 4 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
ACL
2010
15 years 2 months ago
Reading between the Lines: Learning to Map High-Level Instructions to Commands
In this paper, we address the task of mapping high-level instructions to sequences of commands in an external environment. Processing these instructions is challenging--they posit...
S. R. K. Branavan, Luke S. Zettlemoyer, Regina Bar...
ICML
1998
IEEE
16 years 5 months ago
Intra-Option Learning about Temporally Abstract Actions
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
Richard S. Sutton, Doina Precup, Satinder P. Singh
AROBOTS
2002
115views more  AROBOTS 2002»
15 years 4 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...