1837 search results - page 102 / 368 » Learning From Ambiguous Examples |
140
click to vote
AAAI
2000
15 years 6 months ago
2000
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
172
click to vote
CORR
2011
Springer
14 years 11 months ago
2011
Springer
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
160
click to vote
CORR
2011
Springer
14 years 8 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
122
click to vote
ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
123
click to vote
ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Methods for super-resolution can be broadly classified
into two families of methods: (i) The classical multi-image
super-resolution (combining images obtained at subpixel
misali...