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» Partial Learning Using Link Grammars Data
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109
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AAAI
2004
15 years 1 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 29 days ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
105
Voted
COGSCI
2004
148views more  COGSCI 2004»
15 years 8 days ago
Disfluencies, language comprehension, and Tree Adjoining Grammars
Disfluencies include editing terms such as uh and um as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research...
Fernanda Ferreira, Ellen F. Lau, Karl G. D. Bailey
CORR
2010
Springer
177views Education» more  CORR 2010»
15 years 15 days ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
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...
Lars Backstrom, Jure Leskovec
ILP
1999
Springer
15 years 4 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller