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» Efficient learning algorithms for changing environments
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 4 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
TWC
2010
14 years 10 months ago
Adaptive linearly constrained minimum variance beamforming for multiuser cooperative relaying using the kalman filter
In this paper, we consider a wireless communication scenario with multiple source-destination pairs communicating through several cooperative amplify-and-forward relay terminals. T...
Amr El-Keyi, Benoît Champagne
129
Voted
AI
1999
Springer
15 years 3 months ago
Topological Inference of Teleology: Deriving Function from Structure via Evidential Reasoning
Reasoning about the physical world is a central human cognitive activity. One aspect of such reasoning is the inference of function from the structure of the artifacts one encount...
John O. Everett
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 9 months ago
Constructing good learners using evolved pattern generators
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
Vinod K. Valsalam, James A. Bednar, Risto Miikkula...
163
Voted
CVPR
2009
IEEE
16 years 11 months ago
Recognition of Repetitive Sequential Human Activity
We present a novel framework for recognizing repetitive sequential events performed by human actors with strong temporal dependencies and potential parallel overlap. Our solutio...
Akira Yanagawa, Arun Hampapur, Quanfu Fan, Russell...