1548 search results - page 7 / 310 » Supervised Tensor Learning |
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
MM
2005
ACM
15 years 3 months ago
2005
ACM
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
ALT
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
COLING
2010
14 years 4 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
AI
2005
Springer
15 years 3 months ago
2005
Springer
This paper addresses the task of finding acronym-definition pairs in text. Most of the previous work on the topic is about systems that involve manually generated rules or regular ...