299 search results - page 30 / 60 » Multiple kernel learning and feature space denoising |
109
click to vote
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
134
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
131
click to vote
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
170
click to vote
KES
2007
Springer
2007
Springer
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
15 years 9 months ago
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
128
Voted
JMLR
2010
14 years 10 months ago
2010
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...