33 search results - page 6 / 7 » The Margin Perceptron with Unlearning |
NPL
2006
13 years 7 months ago
2006
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
MCS
2002
Springer
13 years 7 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
MCS
2004
Springer
14 years 1 months ago
2004
Springer
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...