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» Using Random Forests in the Structured Language Model
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JMLR
2012
13 years 2 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»
16 years 6 days 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
16 years 1 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
15 years 5 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
15 years 1 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