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» Learning and Inference with Constraints
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FOCS
1992
IEEE
14 years 2 months ago
Efficient Inference of Partial Types
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...
Dexter Kozen, Jens Palsberg, Michael I. Schwartzba...
MFCS
1995
Springer
14 years 1 months ago
Graph Inference from a Walk for TRees of Bounded Degree 3 is NP-Complete
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...
Osamu Maruyama, Satoru Miyano
ICML
2005
IEEE
14 years 11 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
COLT
2010
Springer
13 years 8 months ago
Strongly Non-U-Shaped Learning Results by General Techniques
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...
John Case, Timo Kötzing
CVPR
2004
IEEE
15 years 3 days ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
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...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...