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KES
2008
Springer
13 years 8 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
SAC
2005
ACM
14 years 2 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 7 months ago
Laplacian Spectrum Learning
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
Pannagadatta K. Shivaswamy, Tony Jebara
CN
2006
58views more  CN 2006»
13 years 8 months ago
Dynamically extending the Corral with native code for high-speed packet processing
By combining the Open Kernel Environment, a Click-like software model known as Corral and basic concepts of active networking, we allow third-party code to control the code organi...
Herbert Bos, Bart Samwel, Ilja Booij
AIIA
2007
Springer
14 years 16 days ago
Advanced Tree-Based Kernels for Protein Classification
One of the aims of modern Bioinformatics is to discover the molecular mechanisms that rule the protein operation. This would allow us to understand the complex processes involved i...
Elisa Cilia, Alessandro Moschitti