2681 search results - page 115 / 537 » Learning to learn with the informative vector machine |
143
Voted
ICML
2000
IEEE
16 years 6 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
192
Voted
ISCI
2008
15 years 6 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
178
Voted
ISCIS
2009
Springer
16 years 20 days ago
2009
Springer
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
149
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
184
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BMCBI
2008
15 years 6 months ago
2008
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...