71 search results - page 14 / 15 » Unsupervised Learning of Manifolds via Linear Approximations |
NIPS
1998
14 years 11 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
HPDC
2000
IEEE
15 years 1 months ago
2000
IEEE
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
71
Voted
AIRWEB
2005
Springer
15 years 3 months ago
2005
Springer
This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankin...
104
Voted
CICLING
2010
Springer
15 years 25 days ago
2010
Springer
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...