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» Sparse Additive Machine
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110
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EMNLP
2007
15 years 2 months ago
Hierarchical System Combination for Machine Translation
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...
Fei Huang, Kishore Papineni
82
Voted
NAACL
2003
15 years 2 months ago
Target Word Detection and Semantic Role Chunking using Support Vector Machines
In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...
Kadri Hacioglu, Wayne Ward
79
Voted
AAI
2008
93views more  AAI 2008»
15 years 25 days ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
94
Voted
CORR
2006
Springer
143views Education» more  CORR 2006»
15 years 22 days ago
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, G...
102
Voted
ESWA
2007
146views more  ESWA 2007»
15 years 20 days ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...