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» Regularization Methods for Additive Models
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IJON
2007
114views more  IJON 2007»
14 years 11 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
INCDM
2009
Springer
199views Data Mining» more  INCDM 2009»
15 years 6 months ago
Driver-Moderator Method for SKU Sales Forecasting
We develop a method to forecast stock keeping unit sales that is accurate, transparent and consistent in handling similar situations. We leverage the marketing literature to define...
Özden Gür Ali
BIOCOMP
2006
15 years 1 months ago
Acceleration of Covariance Models for Non-coding RNA Search
Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...
Scott F. Smith 0002
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 6 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
IS
2011
14 years 6 months ago
Checking determinism of XML Schema content models in optimal time
We consider the determinism checking of XML Schema content models, as required by the W3C Recommendation. We argue that currently applied solutions have flaws and make processors...
Pekka Kilpeläinen