Sciweavers

1826 search results - page 55 / 366
» Using Random Forests in the Structured Language Model
Sort
View
JMLR
2012
11 years 11 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
VLSID
2002
IEEE
174views VLSI» more  VLSID 2002»
14 years 9 months ago
Architecture Implementation Using the Machine Description Language LISA
The development of application specific instruction set processors comprises several design phases: architecture exploration, software tools design, system verification and design...
Oliver Schliebusch, Andreas Hoffmann, Achim Nohl, ...
CVPR
2007
IEEE
14 years 10 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
IJCNLP
2005
Springer
14 years 2 months ago
Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free
Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regu...
Andrew Smith, Miles Osborne
DAGSTUHL
2004
13 years 10 months ago
Language Engineering in Practice
ns to define the abstract modelling language that determines the structure of the models that are to be used a two-step meta-modelling approach turned out as most adequate. In the ...
Martin Große-Rhode