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ICML
2007
IEEE
16 years 7 months ago
Experimental perspectives on learning from imbalanced data
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napol...
ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
16 years 14 days ago
An Adaptive Hierarchical Clustering Protocol for Multimedia Overlay Multicast Applications
Adaptive Hierarchical Clustering Algorithm (AHCA) maps a flat topology to a hierarchical tree though output trees are incontrollable and are not suitable for multimedia. PruneRel...
Cheng Peng, Qionghai Dai, Qiufeng Wu
ICCAD
1997
IEEE
83views Hardware» more  ICCAD 1997»
15 years 11 months ago
Replication for logic bipartitioning
Logic replication, the duplication of logic in order to limit communication between partitions, is an effective part of a complete partitioning solution. In this paper we seek a b...
Morgan Enos, Scott Hauck, Majid Sarrafzadeh
ESANN
2001
15 years 8 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 5 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal