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FOCI
2007
IEEE
14 years 1 months ago
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency
Recent progress in genomics and proteomics makes it possible to understand the biological networks at the systems level. We aim to develop computational models of learning and memo...
Byoung-Tak Zhang
IADIS
2003
13 years 8 months ago
Generating Guided Tours over Indexed Information Resources
This article proposes an approach to the generation of guided tours over indexed information resources on user demand. It represents an alternative to more sophisticated hyperdocu...
Benjamin Buffereau, Pierre Duchet, Philippe Picoue...
PODS
1997
ACM
116views Database» more  PODS 1997»
13 years 11 months ago
Data mining, Hypergraph Transversals, and Machine Learning
Dimitrios Gunopulos, Roni Khardon, Heikki Mannila,...
UAI
2001
13 years 8 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 8 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi