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TSP
2010
14 years 4 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
PAMI
2010
132views more  PAMI 2010»
14 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICTIR
2009
Springer
15 years 4 months ago
Modeling the Score Distributions of Relevant and Non-relevant Documents
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
Evangelos Kanoulas, Virgiliu Pavlu, Keshi Dai, Jav...
ICANN
2005
Springer
15 years 3 months ago
Model Selection Under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
COGSCI
2002
108views more  COGSCI 2002»
14 years 9 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff