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DMIN
2007
226views Data Mining» more  DMIN 2007»
15 years 8 months ago
Generative Oversampling for Mining Imbalanced Datasets
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
Alexander Liu, Joydeep Ghosh, Cheryl Martin
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
MIR
2003
ACM
178views Multimedia» more  MIR 2003»
15 years 12 months ago
A bootstrapping approach to annotating large image collection
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
HuaMin Feng, Tat-Seng Chua
ECAL
2007
Springer
15 years 10 months ago
An Analysis of the Effects of Lifetime Learning on Population Fitness and Diversity in an NK Fitness Landscape
This paper examines the effects of lifetime learning on the diversity and fitness of a population. Our experiments measure the phenotypic diversity of populations evolving by purel...
Dara Curran, Colm O'Riordan, Humphrey Sorensen
CORR
2002
Springer
180views Education» more  CORR 2002»
15 years 6 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer