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ICML
2004
IEEE
15 years 10 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
77
Voted
CHI
2002
ACM
15 years 10 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
MVA
2006
205views Computer Vision» more  MVA 2006»
14 years 9 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
ICPR
2008
IEEE
15 years 11 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
79
Voted
ICML
2007
IEEE
15 years 10 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton