723 search results - page 1 / 145 » Computationally Efficient Transductive Machines |
94
Voted
ALT
2000
Springer
15 years 1 months ago
2000
Springer
In this paper1 we propose a new algorithm for providing confidence and credibility values for predictions on a multi-class pattern recognition problem which uses Support Vector mac...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
COLING
2010
14 years 4 months ago
2010
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
100
click to vote
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
ML
2008
ACM
14 years 9 months ago
2008
ACM
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...