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NIPS
2004
13 years 9 months ago
Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices
We prove generalization error bounds for predicting entries in a partially observed matrix by fitting the observed entries with a low-rank matrix. In justifying the analysis appro...
Nathan Srebro, Noga Alon, Tommi Jaakkola
IPMI
2001
Springer
14 years 8 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...
ICML
2008
IEEE
14 years 8 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
RECOMB
2005
Springer
14 years 8 months ago
Modeling the Combinatorial Functions of Multiple Transcription Factors
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
Chen-Hsiang Yeang, Tommi Jaakkola
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
An artificial immune network for multimodal function optimization on dynamic environments
Multimodal optimization algorithms inspired by the immune system are generally characterized by a dynamic control of the population size and by diversity maintenance along the sea...
Fabrício Olivetti de França, Fernand...