348 search results - page 4 / 70 » Learning on the Test Data: Leveraging Unseen Features |
AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
NAACL
2007
13 years 10 months ago
2007
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
ACCV
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
FLAIRS
1998
13 years 10 months ago
1998
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...