1704 search results - page 158 / 341 » Modeling virtualized applications using machine learning tec... |
125
Voted
VRML
2000
ACM
15 years 7 months ago
2000
ACM
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
149
Voted
Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
129
Voted
BMVC
2010
15 years 24 days ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
127
Voted
TMI
2008
15 years 2 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
135
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...