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» On Latent Belief Structures
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UAI
2004
13 years 7 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
LAI
1996
128views more  LAI 1996»
13 years 7 months ago
Doxastic Normality Logic: A Qualitative Probabilistic Modal Framework for Defaults and Belief
We propose a new semantics for modeling belief, mixing conncepts from qualitative probabilistic and classical possible world accounts. Our belief structures are coherent sets of q...
Emil Weydert
IFIP12
2004
13 years 7 months ago
Introducing a Star Topology into Latent Class Models for Collaborative Filtering
Latent class models (LCM) represent the high dimensional data in a smaller dimensional space in terms of latent variables. They are able to automatically discover the patterns from...
Gabriela Polcicova, Peter Tiño
DAGSTUHL
2007
13 years 7 months ago
Semantic structures for one-stage and iterated belief revision
Semantic structures for belief revision are proposed. We start with one-stage revision structures that generalize the notion of choice function from rational choice theory. A corr...
Giacomo Bonanno
JMLR
2010
119views more  JMLR 2010»
13 years 1 months ago
Factorized Orthogonal Latent Spaces
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, ...