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2003
ACM
15 years 2 months ago
Identifying and Exploiting Spatial Regularity in Data Memory References
The growing processor/memory performance gap causes the performance of many codes to be limited by memory accesses. If known to exist in an application, strided memory accesses fo...
Tushar Mohan, Bronis R. de Supinski, Sally A. McKe...
NIPS
2003
14 years 11 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile
ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 4 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
TSD
2010
Springer
14 years 8 months ago
Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
Martin Karafiát, Igor Szöke, Jan Cerno...