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» Estimating Probabilities in Recommendation Systems
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ACL
1994
13 years 9 months ago
Precise N-Gram Probabilities from Stochastic Context-Free Grammars
We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-gr...
Andreas Stolcke, Jonathan Segal
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
13 years 11 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...
UM
2009
Springer
14 years 2 months ago
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems. Common approaches such as user-based and item-based metho...
Rachael Rafter, Michael P. O'Mahony, Neil J. Hurle...
DAC
1994
ACM
13 years 12 months ago
Exact and Approximate Methods for Calculating Signal and Transition Probabilities in FSMs
In this paper, we consider the problem of calculating the signal and transition probabilities of the internal nodes of the combinational logic part of a nite state machine (FSM). ...
Chi-Ying Tsui, Massoud Pedram, Alvin M. Despain
CVPR
2004
IEEE
14 years 9 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...