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» Improving the application of process models
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ALT
2002
Springer
16 years 3 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
SIBGRAPI
2006
IEEE
16 years 23 days ago
Improving 2D mesh image segmentation with Markovian Random Fields
Traditional mesh segmentation methods normally operate on geometrical models with no image information. On the other hand, 2D image-based mesh generation and segmentation counterp...
Alex Jesus Cuadros-Vargas, Leandro C. Gerhardinger...
NLDB
2005
Springer
16 years 7 days ago
Combining Data-Driven Systems for Improving Named Entity Recognition
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
Zornitsa Kozareva, Óscar Ferrández, ...
DMDW
2003
134views Management» more  DMDW 2003»
15 years 8 months ago
Using Design Guidelines to Improve Data Warehouse Logical Design
Data Warehouse-(DW) logical design often start with a conceptual schema and then generates relational structures. Applying this approach implies to cope with two main aspects: (i) ...
Verónika Peralta, Raul Ruggia
ICTAI
2009
IEEE
15 years 4 months ago
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Emmanuel Rachelson, Patrick Fabiani, Fréd&e...