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» Using Machine Learning to Focus Iterative Optimization
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119
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ECML
2006
Springer
15 years 6 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
126
Voted
ICML
1997
IEEE
16 years 3 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
147
Voted
GECCO
2003
Springer
142views Optimization» more  GECCO 2003»
15 years 8 months ago
Revisiting Elitism in Ant Colony Optimization
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Problem. Marco Dorigo et al. used Ant System (AS) to explore the Symmetric Traveling S...
Tony White, Simon Kaegi, Terri Oda
ICALT
2006
IEEE
15 years 8 months ago
CSCL Scripting Patterns: Hierarchical Relationships and Applicability
The use of patterns in e-learning is being recently proposed with different purposes and scopes. This paper provides a unifying view of several representative proposals in order t...
Davinia Hernández Leo, Eloy D. Villasclaras...
166
Voted
FOIKS
2008
Springer
15 years 11 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn