2914 search results - page 100 / 583 » Learning and Inference with Constraints |
132
click to vote
FOCS
1992
IEEE
15 years 10 months ago
1992
IEEE
Partial types for the -calculus were introduced by Thatte in 1988 [3] as a means of typing objects that are not typable with simple types, such as heterogeneous lists and persiste...
150
click to vote
MFCS
1995
Springer
15 years 10 months ago
1995
Springer
The graph inference from a walk for a class C of undirected edge-colored graphs is, given a string x of colors, nding the smallest graph G in C that allows a traverse of all edge...
165
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
146
click to vote
COLT
2010
Springer
15 years 4 months ago
2010
Springer
In learning, a semantic or behavioral U-shape occurs when a learner rst learns, then unlearns, and, nally, relearns, some target concept (on the way to success). Within the framew...
187
click to vote
CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...