39 search results - page 7 / 8 » The Characterization of Classification Problems by Classifie... |
162
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
93
Voted
ECCC
2006
15 years 8 days ago
2006
Attempts at classifying computational problems as polynomial time solvable, NP-complete, or belonging to a higher level in the polynomial hierarchy, face the difficulty of undecid...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
100
click to vote
ECML
1987
Springer
15 years 3 months ago
1987
Springer
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
95
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...