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» Kernels and Regularization on Graphs
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109
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CPC
2007
113views more  CPC 2007»
15 years 13 days ago
Regular Partitions of Hypergraphs: Regularity Lemmas
Abstract. Szemer´edi’s regularity lemma for graphs has proved to be a powerful tool with many subsequent applications. The objective of this paper is to extend the techniques de...
Vojtech Rödl, Mathias Schacht
ICML
2009
IEEE
16 years 1 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
113
Voted
COLT
2006
Springer
15 years 4 months ago
Uniform Convergence of Adaptive Graph-Based Regularization
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...
Matthias Hein
ICPR
2010
IEEE
15 years 3 months ago
Kernel on Graphs Based on Dictionary of Paths for Image Retrieval
Recent approaches of graph comparison consider graphs as sets of paths [6, 5]. Kernels on graphs are then computed from kernels on paths. A common strategy for graph retrieval is ...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, P...
82
Voted
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 5 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...