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JMLR
2010
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12 years 11 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
EMNLP
2009
13 years 2 months ago
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules...
Roy Bar-Haim, Jonathan Berant, Ido Dagan
ACL
2009
13 years 2 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
COLING
2002
13 years 4 months ago
Natural Language and Inference in a Computer Game
We present an engine for text adventures
Malte Gabsdil, Alexander Koller, Kristina Striegni...
ICCV
2001
IEEE
14 years 6 months ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth