Sciweavers

132 search results - page 3 / 27
» Collaborative Hierarchical Sparse Modeling
Sort
View
UAI
2003
13 years 6 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
NN
2011
Springer
348views Neural Networks» more  NN 2011»
13 years 6 days ago
Tree-like hierarchical associative memory structures
In this letter we explore an alternative structural representation for Steinbuch-type binary associative memories. These networks offer very generous storage capacities (both asy...
João Sacramento, Andreas Wichert
ICML
2010
IEEE
13 years 6 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ESANN
2007
13 years 6 months ago
Collaborative Filtering with interlaced Generalized Linear Models
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
Nicolas Delannay, Michel Verleysen
CEC
2005
IEEE
13 years 11 months ago
Distributed brain modelling by means of hierarchical collaborative coevolution
The current work addresses the development of cognitive abilities in artificial organisms. In the proposed approach, neural network-based agent structures are employed to represen...
Michail Maniadakis, Panos E. Trahanias