367 search results - page 22 / 74 » Unsupervised Information Extraction with Distributional Prio... |
TCS
2011
14 years 4 months ago
2011
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
89
Voted
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper presents an improvement of the classical Non-negative Matrix Factorization (NMF) approach, for dealing with local representations of image objects. NMF, when applied to...
100
click to vote
IDA
2006
Springer
14 years 9 months ago
2006
Springer
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
107
click to vote
CORR
2012
Springer
13 years 5 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...