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ICPR
2004
IEEE
16 years 6 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
EMNLP
2009
15 years 3 months ago
Efficient kernels for sentence pair classification
In this paper, we propose a novel class of graphs, the tripartite directed acyclic graphs (tDAGs), to model first-order rule feature spaces for sentence pair classification. We in...
Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete
VLSID
2009
IEEE
177views VLSI» more  VLSID 2009»
16 years 5 months ago
Accelerating System-Level Design Tasks Using Commodity Graphics Hardware: A Case Study
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...
Unmesh D. Bordoloi, Samarjit Chakraborty
JMLR
2006
79views more  JMLR 2006»
15 years 5 months ago
Universal Kernels
In this paper we investigate conditions on the features of a continuous kernel so that it may approximate an arbitrary continuous target function uniformly on any compact subset o...
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
NIPS
2000
15 years 6 months ago
Text Classification using String Kernels
We propose a novel approach for categorizing text documents based on the use of a special kernel. The kernel is an inner product in the feature space generated by all subsequences...
Huma Lodhi, John Shawe-Taylor, Nello Cristianini, ...