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» Measuring and Predicting Object Importance
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KDD
2010
ACM
275views Data Mining» more  KDD 2010»
15 years 2 months ago
Combined regression and ranking
Many real-world data mining tasks require the achievement of two distinct goals when applied to unseen data: first, to induce an accurate preference ranking, and second to give g...
D. Sculley
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 17 days ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
FLAIRS
2009
14 years 9 months ago
Assessment of LDAT as a Grammatical Diversity Assessment Tool
1 The purpose of this study is to evaluate the validity of measuring grammatical diversity with a specifically designed Lexical Diversity Assessment Tool (LDAT). A secondary object...
Scott Leigh Healy, Joseph D. Weintraub, Philip M. ...
JMLR
2010
110views more  JMLR 2010»
14 years 6 months ago
Attribute Selection Based on FRiS-Compactness
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
CVPR
2012
IEEE
13 years 1 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann