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ATAL
2008
Springer
15 years 7 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
SIGCSE
1999
ACM
83views Education» more  SIGCSE 1999»
15 years 9 months ago
Global cooperation project in computer programming course
A Global Cooperation Project was conducted with computer science classes at the Czech Technical University and North Hennepin Community College. The project was a pilot project fo...
Thomas Macek, Bozena Mannova, Josef Kolar, Barbara...
125
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NIPS
2003
15 years 6 months ago
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
Yoshua Bengio, Yves Grandvalet
CVPR
2009
IEEE
17 years 9 days ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
CVPR
2009
IEEE
17 years 5 days ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...