174 search results - page 26 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
152
click to vote
JGO
2010
15 years 4 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
146
click to vote
AAAI
2007
15 years 7 months ago
2007
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
166
click to vote
CIKM
2010
Springer
15 years 4 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
157
click to vote
CVPR
2007
IEEE
16 years 7 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...