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» The TSIMMIS Approach to Mediation: Data Models and Languages
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JMLR
2012
13 years 7 days ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
ER
2007
Springer
127views Database» more  ER 2007»
15 years 4 months ago
Generic Schema Mappings
Schema mappings come in different flavors: simple correspondences are produced by schema matchers, intensional mappings are used for schema integration. However, the execution of ...
David Kensche, Christoph Quix, Yong Li, Matthias J...
CTCS
1987
Springer
15 years 1 months ago
Good Functors... are Those Preserving Philosophy
of this paper is to prevent the abstract data type researcher from an improper, naive use of category theory. We mainly emphasize some unpleasant properties of the synthesis funct...
Gilles Bernot
96
Voted
ML
1998
ACM
139views Machine Learning» more  ML 1998»
14 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
UM
2007
Springer
15 years 3 months ago
Identifiability: A Fundamental Problem of Student Modeling
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
Joseph E. Beck, Kai-min Chang