2914 search results - page 444 / 583 » Learning and Inference with Constraints |
180
Voted
NIPS
2001
15 years 7 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
171
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UAI
2003
15 years 7 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
217
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
188
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
137
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
This paper presents a method for estimating geographic
location for sequences of time-stamped photographs. A
prior distribution over travel describes the likelihood of
traveling...