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ACL
2011
14 years 10 months ago
Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
Colin Cherry, Shane Bergsma
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 9 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
ICML
2000
IEEE
16 years 7 months ago
Bounds on the Generalization Performance of Kernel Machine Ensembles
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
Luis Pérez-Breva, Massimiliano Pontil, Theo...
DAC
1998
ACM
16 years 7 months ago
Watermarking Techniques for Intellectual Property Protection
Digital system designs are the product of valuable effort and knowhow. Their embodiments, from software and HDL program down to device-level netlist and mask data, represent caref...
Andrew B. Kahng, John Lach, William H. Mangione-Sm...
AGENTS
2001
Springer
15 years 11 months ago
Automatically tracking and analyzing the behavior of live insect colonies
We introduce the study of live social insect colonies as a relevant and exciting domain for the development and application of multi-agent systems modeling tools. Social insects p...
Tucker R. Balch, Zia Khan, Manuela M. Veloso