93 search results - page 3 / 19 » Robust Fitting of Multiple Structures: The Statistical Learn... |
KES
2007
Springer
13 years 12 months ago
2007
Springer
Biological systems consist of many components and interactions between them. In Systems Biology the principal problem is modeling complex biological systems and reconstructing inte...
ICMLA
2010
13 years 3 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
ICML
1996
IEEE
13 years 10 months ago
1996
IEEE
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...