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IJCNN
2006
IEEE
15 years 3 months ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
IV
2010
IEEE
150views Visualization» more  IV 2010»
14 years 8 months ago
A 3D Visualization Technique for Large Scale Time-Varying Data
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
Maiko Imoto, Takayuki Itoh
KES
2004
Springer
15 years 3 months ago
A Hybrid Learning Approach for TV Program Personalization
The rapid growth of communication technologies and the invention of set-top-box (STB) and personal digital recorder (PDR) have enabled today’s television to receive and store tre...
Zhiwen Yu, Xingshe Zhou, Zhiyi Yang
JIRS
2000
133views more  JIRS 2000»
14 years 9 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 3 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles