1136 search results - page 28 / 228 » Learning with Weighted Transducers |
NIPS
1994
13 years 10 months ago
1994
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...