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» Improving Mining Quality by Exploiting Data Dependency
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CVPR
2012
IEEE
11 years 10 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
VLDB
2004
ACM
163views Database» more  VLDB 2004»
14 years 27 days ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
WWW
2007
ACM
14 years 8 months ago
Measuring semantic similarity between words using web search engines
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
SAC
2006
ACM
14 years 1 months ago
Semantic analysis of web site audience
With the emergence of the World Wide Web, analyzing and improving Web communication has become essential to adapt the Web content to the visitors’ expectations. Web communicatio...
Jean-Pierre Norguet, Esteban Zimányi, Ralf ...