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» Approximate Learning of Dynamic Models
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SIGIR
2006
ACM
16 years 5 days ago
LDA-based document models for ad-hoc retrieval
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
Xing Wei, W. Bruce Croft
ICML
2009
IEEE
16 years 7 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
AAAI
1990
15 years 7 months ago
Backward Model Tracing: An Explanation-Based Approach for Reconstructing Student Reasoning
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
Danilo Fum, Paolo Giangrandi, Carlo Tasso
JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
ICPR
2000
IEEE
16 years 7 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...