1897 search results - page 72 / 380 » Sparse Additive Machine |
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
108
Voted
ALT
2000
Springer
15 years 9 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
PPPJ
2004
ACM
15 years 6 months ago
2004
ACM
This paper shows that it is possible to dramatically reduce the memory consumption of classes loaded in an embedded Java virtual machine without reducing its functionalities. We d...
103
Voted
ICONIP
1998
15 years 2 months ago
1998
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
111
Voted
IJON
2006
15 years 18 days ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...