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ICML
2007
IEEE
14 years 9 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
JACIII
2007
79views more  JACIII 2007»
13 years 8 months ago
State-Transition Computation Models and Program Correctness Thereon
Abstract— A common framework for formalization of statetransition computation models is presented based on a general theory for studying the interrelationships between specifica...
Kiyoshi Akama, Ekawit Nantajeewarawat
CSDA
2008
154views more  CSDA 2008»
13 years 8 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...
IJON
2011
90views more  IJON 2011»
13 years 3 days ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
DAGSTUHL
2008
13 years 10 months ago
The Grand Challenges and Myths of Neural-Symbolic Computation
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Luís C. Lamb