9 search results - page 1 / 2 » Increasing Feature Selection Accuracy for L1 Regularized Lin... |
JMLR
2010
12 years 11 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
MCS
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
EMNLP
2011
12 years 4 months ago
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...