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» Generalization Improvement in Multi-Objective Learning
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101
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ICMLA
2003
15 years 1 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
AAAI
2000
15 years 1 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
107
Voted
SIGIR
2008
ACM
15 years 9 days ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 9 days ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
CEC
2008
IEEE
15 years 6 months ago
The simplest evolution/learning hybrid: LEM with KNN
Abstract— The Learnable Evolution Model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think)...
Guleng Sheri, David W. Corne