1427 search results - page 106 / 286 » Learning with Annotation Noise |
107
click to vote
PRL
2006
15 years 3 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
121
click to vote
ACL
2009
15 years 1 months ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
135
click to vote
ACL
2009
15 years 1 months ago
2009
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
139
click to vote
ACL
2011
14 years 7 months ago
2011
Compositional question answering begins by mapping questions to logical forms, but training a semantic parser to perform this mapping typically requires the costly annotation of t...
160
click to vote
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular are graph-based met...