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EMNLP
2007
14 years 11 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
75
Voted
PVLDB
2010
82views more  PVLDB 2010»
14 years 8 months ago
Record Linkage with Uniqueness Constraints and Erroneous Values
Many data-management applications require integrating data from a variety of sources, where different sources may refer to the same real-world entity in different ways and some ma...
Songtao Guo, Xin Dong, Divesh Srivastava, Remi Zaj...
TMC
2010
159views more  TMC 2010»
14 years 7 months ago
Radio Sleep Mode Optimization in Wireless Sensor Networks
—Energy-efficiency is a central challenge in sensor networks, and the radio is a major contributor to overall energy node consumption. Current energy-efficient MAC protocols fo...
Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...
92
Voted
JMLR
2010
206views more  JMLR 2010»
14 years 4 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
96
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...