1062 search results - page 122 / 213 » Sublinear Optimization for Machine Learning |
198
Voted
GECCO
2000
Springer
15 years 10 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
194
click to vote
WEBI
2005
Springer
16 years 4 days ago
2005
Springer
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
231
Voted
JMLR
2012
13 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
223
click to vote
PAMI
2012
13 years 9 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
163
Voted
EUROGP
2009
Springer
16 years 1 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...