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ICML
2004
IEEE
16 years 7 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
AICCSA
2007
IEEE
110views Hardware» more  AICCSA 2007»
16 years 29 days ago
Benchmarking XML-Schema Matching Algorithms for Improving Automated Tuning
Several matching algorithms were recently developed in order to automate or semi-automate the process of correspondences discovery between XML schemas. These algorithms use a wide...
Mohamed Boukhebouze, Rami Rifaieh, Aïcha-Nabi...
IBPRIA
2007
Springer
16 years 23 days ago
Improving Piecewise-Linear Registration Through Mesh Optimization
Abstract. Piecewise-linear methods accomplish the registration by dividing the images in corresponding triangular patches, which are individually mapped through affine transformati...
Vicente Arévalo, Javier González
ACL
2010
15 years 4 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 6 months ago
QoX-driven ETL design: reducing the cost of ETL consulting engagements
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...
Alkis Simitsis, Kevin Wilkinson, Malú Caste...