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ACL
2008
13 years 11 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
ANCS
2008
ACM
13 years 11 months ago
On runtime management in multi-core packet processing systems
Computer networks require increasingly complex packet processing in the data path to adapt to new functionality requirements. To meet performance demands, packet processing system...
Qiang Wu, Tilman Wolf
IMAGING
2001
13 years 11 months ago
Spherical Sampling and Color Transformations
In this paper, we present a spherical sampling technique that can be employed to find optimal sensors for trichromatic color applications. The advantage over other optimization te...
Graham D. Finlayson, Sabine Süsstrunk
PAMI
2010
132views more  PAMI 2010»
13 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
MAICS
2003
13 years 11 months ago
Representing Symbolic Reasoning
Introspection is a fundamental component of how we as humans reason, learn, and adapt. However, many existing computer reasoning systems exclude the possibility of introspection b...
Brian E. Mastenbrook, Eric G. Berkowitz