456 search results - page 8 / 92 » Unsupervised Learning of Generalized Names |
85
Voted
IDA
2007
Springer
14 years 9 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
SIGIR
2004
ACM
15 years 2 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
KCAP
2009
ACM
15 years 4 months ago
2009
ACM
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...