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128
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COCO
1995
Springer
113views Algorithms» more  COCO 1995»
15 years 6 months ago
On the Structure of Low Sets
Over a decade ago, Schoning introduced the concept of lowness into structural complexity theory. Since then a large body of results has been obtained classifying various complexit...
Johannes Köbler
104
Voted
ICPR
2006
IEEE
16 years 3 months ago
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Pavel Pudil, Petr Somol
138
Voted
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 3 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
158
Voted
ALMOB
2007
133views more  ALMOB 2007»
15 years 2 months ago
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
125
Voted
ACL
2009
15 years 17 days ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar