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» Learning minimal abstractions
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TVLSI
2008
176views more  TVLSI 2008»
15 years 15 days ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...
ACCV
2010
Springer
14 years 7 months ago
Minimal Representations for Uncertainty and Estimation in Projective Spaces
Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
Wolfgang Förstner
101
Voted
CAV
1993
Springer
127views Hardware» more  CAV 1993»
15 years 4 months ago
Symbolic Equivalence Checking
Abstract. We describe the implementation, within ALDEBARAN of an algorithmic method allowing the generation of a minimal labeled transition rom an abstract model ; this minimality ...
Jean-Claude Fernandez, Alain Kerbrat, Laurent Moun...
77
Voted
ICML
2009
IEEE
16 years 1 months ago
PAC-Bayesian learning of linear classifiers
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
Alexandre Lacasse, François Laviolette, Mar...
102
Voted
NIPS
2004
15 years 2 months ago
Analysis of a greedy active learning strategy
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
Sanjoy Dasgupta