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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
ISNN
2004
Springer
14 years 1 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
IJCSS
2000
86views more  IJCSS 2000»
13 years 8 months ago
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...
José Cristóbal Riquelme Santos, Jes&...
ICIP
2002
IEEE
14 years 10 months ago
Content-based image retrieval for digital mammography
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 10 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber