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HIS
2007
15 years 7 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ICML
2010
IEEE
15 years 7 months ago
Toward Off-Policy Learning Control with Function Approximation
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
Hamid Reza Maei, Csaba Szepesvári, Shalabh ...
DNA
2003
Springer
101views Bioinformatics» more  DNA 2003»
15 years 11 months ago
A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning
Affinity separation with magnetic beads is an important and widely used technique for DNA computing. We have designed and implemented an experimental lab-on-a-chip module for affin...
Hee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu...
ICPR
2010
IEEE
15 years 10 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
AAAI
2006
15 years 7 months ago
Quantifying the Impact of Learning Algorithm Parameter Tuning
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
Niklas Lavesson, Paul Davidsson