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» Kernels for Semi-Structured Data
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IJON
2006
109views more  IJON 2006»
13 years 10 months ago
Integrating the improved CBP model with kernel SOM
In this paper, we first design a more generalized network model, Improved CBP, based on the same structure as Circular BackPropagation (CBP) proposed by Ridella et al. The novelty ...
Qun Dai, Songcan Chen
SSPR
2010
Springer
13 years 8 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
13 years 29 days ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
PADS
2005
ACM
14 years 3 months ago
The WarpIV Simulation Kernel
ct This paper provides an overview of the WarpIV Simulation Kernel that was designed to be an initial implementation of the Standard Simulation Architecture (SSA). WarpIV is the ne...
Jeffrey S. Steinman
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
14 years 2 months ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...