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JMLR
2008
114views more  JMLR 2008»
13 years 7 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
DAGSTUHL
1996
13 years 8 months ago
Practical Aspects of Specialization of Algol-like Programs
Abstract. A \linearized" scheme of polyvariant specialization for imperative languages is described in the paper. The scheme is intended for increasing e ciency of specializat...
Mikhail A. Bulyonkov, Dmitry V. Kochetov
CORR
2010
Springer
213views Education» more  CORR 2010»
13 years 7 months ago
Morphological study of Albanian words, and processing with NooJ
We are developing electronic dictionaries and transducers for the automatic processing of the Albanian Language. We will analyze the words inside a linear segment of text. We will...
Odile Piton, Klara Lagji
AI
2006
Springer
13 years 7 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
IJCNLP
2005
Springer
14 years 16 days ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...