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ICPR
2008
IEEE
16 years 7 months ago
Structural poisson mixtures for classification of documents
Considering the statistical text classification problem we approximate class-conditional probability distributions by structurally modified Poisson mixtures. By introducing the st...
Jana Novovicová, Jiri Grim, Petr Somol
ICANN
2009
Springer
16 years 29 days ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
171
Voted
PPSN
1992
Springer
15 years 10 months ago
Structure Evolution and Incomplete Induction
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Reinhard Lohmann
157
Voted
IPM
2006
139views more  IPM 2006»
15 years 6 months ago
Best entry points for structured document retrieval - Part I: Characteristics
Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these comp...
Jane Reid, Mounia Lalmas, Karen Finesilver, Morten...
177
Voted
ICML
2009
IEEE
16 years 7 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy