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» On Latent Belief Structures
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UAI
2004
14 years 11 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»
14 years 11 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
14 years 11 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
14 years 11 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»
14 years 4 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, ...