327 search results - page 59 / 66 » A Theory of Information-Flow Labels |
77
Voted
IPMI
2009
Springer
15 years 10 months ago
2009
Springer
The evaluation of the quality of segmentations of an image, and the assessment of intra- and inter-expert variability in segmentation performance, has long been recognized as a dic...
89
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
80
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
105
click to vote
KDD
2008
ACM
15 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
171
click to vote
POPL
2007
ACM
15 years 10 months ago
2007
ACM
We present a model of recursive and impredicatively quantified types with mutable references. We interpret in this model all of the type constructors needed for typed intermediate...