3607 search results - page 152 / 722 » Learning with structured sparsity |
124
Voted
UAI
2000
15 years 3 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
87
Voted
IUI
2005
ACM
15 years 8 months ago
2005
ACM
Many structured activities are managed by email. For instance, a consumer purchasing an item from an e-commerce vendor may receive a message confirming the order, a warning of a ...
146
Voted
JMLR
2010
14 years 9 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
128
Voted
IDA
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
125
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...