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» Graph Mining based on a Data Partitioning Approach
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154
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NIPS
2004
15 years 5 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
139
Voted
ECML
2006
Springer
15 years 7 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
112
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
113
Voted
IEEEPACT
2002
IEEE
15 years 8 months ago
An Evaluation of Data-Parallel Compiler Support for Line-Sweep Applications
Data parallel compilers have long aimed to equal the performance of carefully hand-optimized parallel codes. For tightly-coupled applications based on line sweeps, this goal has b...
Daniel G. Chavarría-Miranda, John M. Mellor...