Sciweavers

185 search results - page 24 / 37
» Learning with Few Examples by Transferring Feature Relevance
Sort
View
151
Voted
ECAI
2004
Springer
15 years 7 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
147
Voted
ICML
2010
IEEE
15 years 4 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
15 years 9 months ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
111
Voted
IIS
2000
15 years 4 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
RECOMB
2005
Springer
16 years 3 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...