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LACL
2001
Springer
14 years 1 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat
WWW
2009
ACM
14 years 3 months ago
Instance-based probabilistic reasoning in the semantic web
Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach t...
Pedro Oliveira, Paulo Gomes
EDM
2010
309views Data Mining» more  EDM 2010»
13 years 10 months ago
A Case Study: Data Mining Applied to Student Enrollment
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
César Vialardi Sacín, Jorge Chue, Al...
BMCBI
2010
229views more  BMCBI 2010»
13 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CVPR
2012
IEEE
11 years 11 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan