109 search results - page 7 / 22 » Improved Sparse Bump Modeling for Electrophysiological Data |
HPCC
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. We improve the performance of sparse matrix-vector multiplication (SpMV) on modern cache-based superscalar machines when the matrix structure consists of multiple, irregu...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
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...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
WSDM
2010
ACM
14 years 4 months ago
2010
ACM
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
CSDA
2008
13 years 7 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...