70 search results - page 9 / 14 » Regularized Linear Models in Stacked Generalization |
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
ICLP
2001
Springer
14 years 27 days ago
2001
Springer
Tabling is an implementation technique that improves the declarativeness and expressiveness of Prolog by reusing solutions to goals. Quite a few interesting applications of tabling...
CSDA
2007
13 years 8 months ago
2007
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
COR
2010
13 years 8 months ago
2010
This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPF...
NIPS
2007
13 years 10 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...