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» Convex Factorization Machines
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91
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ICML
2006
IEEE
16 years 1 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
73
Voted
ICALT
2005
IEEE
15 years 6 months ago
Learning from the Pitfalls of a Case Sharing Web
Using cases for teaching and learning has received growing attention in teacher training programs. This project intends to build a web forum for student teachers to discuss their ...
Shihkuan Hsu
89
Voted
STACS
1989
Springer
15 years 4 months ago
A Generalization of Automatic Sequences
A sequence is said to be k-automatic if the nth term of this sequence is generated by a finite state machine with n in base k as input. Regular sequences were first defined by ...
Jeffrey Shallit
70
Voted
ICML
2010
IEEE
15 years 1 months ago
A Simple Algorithm for Nuclear Norm Regularized Problems
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
Martin Jaggi, Marek Sulovský
88
Voted
ENTCS
2008
99views more  ENTCS 2008»
15 years 21 days ago
Modelling Intracellular Fate of FGF Receptors With BioAmbients
In this paper we consider a model of different sorting of receptors for Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the di...
Steffen van Bakel, Ikra Khan, Maria Grazia Vigliot...