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» A Boosting Algorithm for Regression
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MCS
2009
Springer
15 years 10 months ago
Improved Uniformity Enforcement in Stochastic Discrimination
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
Matthew Prior, Terry Windeatt
121
Voted
ICC
2007
IEEE
150views Communications» more  ICC 2007»
15 years 9 months ago
Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems
— Blind and semiblind adaptive schemes are proposed for joint maximum likelihood (ML) channel estimation and data detection for multiple-input multiple-output (MIMO) systems. The...
Mohammed Abuthinien, Sheng Chen, Andreas Wolfgang,...
121
Voted
COLT
1999
Springer
15 years 7 months ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
116
Voted
ASPDAC
2007
ACM
81views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Fault Dictionary Size Reduction for Million-Gate Large Circuits
- In general, fault dictionary is prevented from practical applications for its extremely large size. Several previous works are proposed for the fault dictionary size reduction. H...
Yu-Ru Hong, Juinn-Dar Huang
129
Voted
3DPVT
2004
IEEE
131views Visualization» more  3DPVT 2004»
15 years 7 months ago
Neural Mesh Ensembles
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee...