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NIPS
2004
15 years 8 months ago
On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks
Device mismatch in VLSI degrades the accuracy of analog arithmetic circuits and lowers the learning performance of large-scale neural networks implemented in this technology. We s...
Miguel Figueroa, Seth Bridges, Chris Diorio
ML
2002
ACM
129views Machine Learning» more  ML 2002»
15 years 6 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
AVSS
2006
IEEE
16 years 18 days ago
An Online Discriminative Approach to Background Subtraction
We present a simple, principled approach to detecting foreground objects in video sequences in real-time. Our method is based on an on-line discriminative learning technique that ...
Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Cae...
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 10 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
COLT
2008
Springer
15 years 8 months ago
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Elad Hazan, Satyen Kale