502 search results - page 32 / 101 » Learning from General Label Constraints |
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
102
Voted
NIPS
2007
15 years 3 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
135
click to vote
ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
16 years 2 months ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
119
click to vote
ICALP
2004
Springer
15 years 7 months ago
2004
Springer
We consider the problem of learning a labeled graph from a given family of graphs on n vertices in a model where the only allowed operation is to query whether a set of vertices i...
110
click to vote
ACL
2010
14 years 12 months ago
2010
Existing works on sentiment analysis on product reviews suffer from the following limitations: (1) The knowledge of hierarchical relationships of products attributes is not fully ...