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PPSN
2010
Springer
13 years 2 months ago
Optimisation and Generalisation: Footprints in Instance Space
Abstract. The chief purpose of research in optimisation is to understand how to design (or choose) the most suitable algorithm for a given distribution of problem instances. Ideall...
David W. Corne, Alan P. Reynolds
KBS
2002
106views more  KBS 2002»
13 years 4 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen
AAAI
2006
13 years 5 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
13 years 8 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo