1897 search results - page 90 / 380 » Sparse Additive Machine |
109
Voted
ICDM
2002
IEEE
15 years 5 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
138
Voted
LATIN
2010
Springer
15 years 2 months ago
2010
Springer
We study the problem of designing truthful algorithms for scheduling a set of tasks, each one owned by a selfish agent, to a set of parallel (identical or unrelated) machines in or...
115
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
119
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
84
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...