323 search results - page 10 / 65 » New Algorithms for Learning in Presence of Errors |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning alg...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
NIPS
1994
13 years 8 months ago
1994
The performance of on-line algorithms for learning dichotomies is studied. In on-line learning, the number of examples P is equivalent to the learning time, since each example is ...