Sciweavers

73 search results - page 6 / 15
» Learning Efficient Rules by Maintaining the Explanation Stru...
Sort
View
ICML
2008
IEEE
14 years 8 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
COGSCI
2007
109views more  COGSCI 2007»
13 years 7 months ago
Understanding the Emergence of Modularity in Neural Systems
: Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when and how they emerge. It is a natural assum...
John A. Bullinaria
ACL
1997
13 years 9 months ago
String Transformation Learning
String transformation systems have been introduced in (Brill, 1995) and have several applications in natural language processing. In this work we consider the computational proble...
Giorgio Satta, John C. Henderson
IGPL
2007
107views more  IGPL 2007»
13 years 7 months ago
Equal Rights for the Cut: Computable Non-analytic Cuts in Cut-based Proofs
This work studies the structure of proofs containing non-analytic cuts in the cut-based system, a sequent inference system in which the cut rule is not eliminable and the only bra...
Marcelo Finger, Dov M. Gabbay
PAMI
2006
127views more  PAMI 2006»
13 years 7 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