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» Hierarchical exploration of large multivariate data sets
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KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
CIKM
2010
Springer
13 years 6 months ago
Improved index compression techniques for versioned document collections
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Jinru He, Junyuan Zeng, Torsten Suel
IJBRA
2010
133views more  IJBRA 2010»
13 years 4 months ago
Scalable biomedical Named Entity Recognition: investigation of a database-supported SVM approach
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
Mona Soliman Habib, Jugal Kalita
WACV
2012
IEEE
12 years 3 months ago
Tools for richer crowd source image annotations
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines o...
Joshua Little, Austin Abrams, Robert Pless
UM
2010
Springer
13 years 5 months ago
Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users
Abstract. The World Wide Web has provided users with the opportunity to access from any computer the largest set of information ever existing. Researchers have analyzed how such us...
Daniel Olmedilla, Enrique Frías-Martí...