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JMLR
2008
114views more  JMLR 2008»
15 years 6 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
EMNLP
2009
15 years 3 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 6 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
CF
2007
ACM
15 years 10 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...
AAMAS
2004
Springer
15 years 6 months ago
Functional Validation in Grid Computing
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
Guofei Jiang, George Cybenko