966 search results - page 158 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
124
click to vote
KDD
2009
ACM
16 years 2 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
130
Voted
SIGIR
2009
ACM
15 years 9 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
135
Voted
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
118
click to vote
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
128
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...