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» Robust Learning - Rich and Poor
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IDA
2007
Springer
16 years 19 days ago
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Carlos Valle, Ricardo Ñanculef, Héct...
ICANN
2003
Springer
15 years 11 months ago
A Comparison of Model Aggregation Methods for Regression
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
Zafer Barutçuoglu
IJCNN
2000
IEEE
15 years 11 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
AAAI
2006
15 years 8 months ago
Supporting Queries with Imprecise Constraints
In this paper, we motivate the need for and challenges involved in supporting imprecise queries over Web databases. Then we briefly explain our solution, AIMQ - a domain independe...
Ullas Nambiar, Subbarao Kambhampati
ICONIP
1998
15 years 7 months ago
Recognition of Hand Written Patterns by Rotation-Invariant Neocognitron
A rotation-invariant neocognitron, which has been recently proposed by authors, is trained by using hand-written numerical patterns provided by ETL-1 database. A new learning algo...
Shunji Satoh, Jousuke Kuroiwa, Hirotomo Aso, Shogo...