3502 search results - page 326 / 701 » From Machine Learning to Machine Reasoning |
177
click to vote
MLDM
2005
Springer
16 years 6 days ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
199
click to vote
ICML
2004
IEEE
16 years 4 days ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
179
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
198
click to vote
ML
2006
ACM
15 years 6 months ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
212
click to vote
BMCBI
2007
15 years 6 months ago
2007
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...