34 search results - page 3 / 7 » Supervised Dimension Reduction Using Bayesian Mixture Modeli... |
101
Voted
AAAI
2010
14 years 11 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
CSDA
2006
14 years 10 months ago
2006
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
108
Voted
SAC
2006
ACM
15 years 4 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
96
Voted
ICML
2001
IEEE
15 years 11 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
103
Voted
TMI
2010
14 years 5 months ago
2010
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...