81 search results - page 11 / 17 » Programming by Demonstration: An Inductive Learning Formulat... |
166
Voted
ICRA
2009
IEEE
16 years 1 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
223
Voted
JMLR
2012
13 years 8 months ago
2012
In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
188
Voted
ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...
171
Voted
ECAI
2008
Springer
15 years 8 months ago
2008
Springer
Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
146
Voted
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...