334 search results - page 33 / 67 » Boosting with structural sparsity |
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
RECOMB
2009
Springer
14 years 8 months ago
2009
Springer
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
KDD
2009
ACM
14 years 19 days ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
ETVC
2008
13 years 9 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
ICA
2004
Springer
14 years 1 months ago
2004
Springer
Presented here is a generalization of the modified relative Newton method, recently proposed in [1] for quasi-maximum likelihood blind source separation. Special structure of the ...