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ECML
2004
Springer
15 years 10 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
EGPGV
2004
Springer
147views Visualization» more  EGPGV 2004»
15 years 10 months ago
I/O Strategies for Parallel Rendering of Large Time-Varying Volume Data
This paper presents I/O solutions for the visualization of time-varying volume data in a parallel and distributed computing environment. Depending on the number of rendering proce...
Hongfeng Yu, Kwan-Liu Ma, Joel Welling
140
Voted
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 10 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 10 months ago
Alternative Bloat Control Methods
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
Liviu Panait, Sean Luke
HIPC
2004
Springer
15 years 10 months ago
Autonomic Storage System Based on Automatic Learning
In this paper, we present a system capable of improving the I/O performance in an automatic way. This system is able to learn the behavior of the applications running on top and ...
Francisco Hidrobo, Toni Cortes