801 search results - page 39 / 161 » The Inefficiency of Batch Training for Large Training Sets |
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
SI3D
2006
ACM
14 years 2 months ago
2006
ACM
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
CORR
1999
Springer
13 years 8 months ago
1999
Springer
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
MT
2007
13 years 8 months ago
2007
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
AAAI
2012
11 years 11 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...