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TKDE
2010
168views more  TKDE 2010»
15 years 2 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
129
Voted
ACL
2010
15 years 2 months ago
Towards Robust Multi-Tool Tagging. An OWL/DL-Based Approach
This paper describes a series of experiments to test the hypothesis that the parallel application of multiple NLP tools and the integration of their results improves the correctne...
Christian Chiarcos
CG
2010
Springer
15 years 2 months ago
A Principled Method for Exploiting Opening Books
We used in the past a lot of computational power and human expertise for having a very big dataset of good 9x9 Go games, in order to build an opening book. We improved a lot the al...
Romaric Gaudel, Jean-Baptiste Hoock, Julien Perez,...
PPSN
2010
Springer
15 years 1 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
133
Voted
ICCV
2009
IEEE
15 years 1 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...