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NIPS
1996
15 years 8 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
ML
2006
ACM
132views Machine Learning» more  ML 2006»
15 years 6 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
VSGAMES
2010
129views Game Theory» more  VSGAMES 2010»
15 years 5 months ago
Validation of Serious Games Attributes Using the Technology Acceptance Model
—The paper introduces a conceptual model for the design of serious games and uses the Technology Acceptance Model (TAM) for its validation. A specially developed game introduced ...
Amri Yusoff, Richard Crowder, Lester Gilbert
CVPR
2009
IEEE
17 years 1 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICML
2009
IEEE
16 years 7 months ago
K-means in space: a radiation sensitivity evaluation
Spacecraft increasingly employ onboard data analysis to inform further data collection and prioritization decisions. However, many spacecraft operate in high-radiation environment...
Kiri L. Wagstaff, Benjamin Bornstein