3050 search results - page 175 / 610 » On-line Algorithms in Machine Learning |
128
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
112
click to vote
DNA
2005
Springer
15 years 9 months ago
2005
Springer
We introduce a class of generalized DNF formulae called wDNF or weighted disjunctive normal form, and present a molecular algorithm that learns a wDNF formula from training example...
124
click to vote
PRL
2008
15 years 3 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
129
click to vote
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
133
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...