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IJCNN
2008
IEEE
14 years 3 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
KDD
1994
ACM
140views Data Mining» more  KDD 1994»
14 years 1 months ago
A Comparison of Pruning Methods for Relational Concept Learning
Pre-Pruning and Post-Pruning are two standard methods of dealing with noise in concept learning. Pre-Pruning methods are very efficient, while Post-Pruning methods typically are m...
Johannes Fürnkranz
IJCAI
2001
13 years 10 months ago
Learning Procedural Knowledge to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This paper presents techniques that allow heterogeneous agent...
Andrew Garland, Richard Alterman
SDM
2004
SIAM
123views Data Mining» more  SDM 2004»
13 years 10 months ago
Nonlinear Manifold Learning for Data Stream
There has been a renewed interest in understanding the structure of high dimensional data set based on manifold learning. Examples include ISOMAP [25], LLE [20] and Laplacian Eige...
Martin H. C. Law, Nan Zhang 0002, Anil K. Jain
AAAI
2000
13 years 10 months ago
Learning the Common Structure of Data
The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns st...
Kristina Lerman, Steven Minton