421 search results - page 1 / 85 » Incorporating Test Inputs into Learning |
NIPS
1997
13 years 5 months ago
1997
In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method ...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
PR
2007
13 years 4 months ago
2007
In this paper, a novel automatic image annotation system is proposed, which integrates two sets of support vector machines (SVMs), namely the multiple instance learning (MIL)-base...
NCI
2004
13 years 6 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...