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» On the Network Complexity of Selection
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
IJCNN
2008
IEEE
16 years 1 months ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
HIPC
2007
Springer
16 years 28 days ago
Multi-objective Peer-to-Peer Neighbor-Selection Strategy Using Genetic Algorithm
Peer-to-peer (P2P) topology has signiï¬cant influence on the performance, search efficiency and functionality, and scalability of the application. In this paper, we present a Gen...
Ajith Abraham, Benxian Yue, Chenjing Xian, Hongbo ...
209
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ICALT
2006
IEEE
16 years 24 days ago
A Shortest Learning Path Selection Algorithm in E-learning
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
Chengling Zhao, Liyong Wan
IJCNN
2006
IEEE
16 years 24 days ago
Common Subset Selection of Inputs in Multiresponse Regression
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
Timo Similä, Jarkko Tikka