97 search results - page 9 / 20 » Using Machine Learning to Refine Black-Box Test Specificatio... |
108
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
130
Voted
ICMLA
2008
15 years 4 months ago
2008
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
120
Voted
FLAIRS
1998
15 years 4 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
141
Voted
PLDI
2003
ACM
15 years 8 months ago
2003
ACM
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
113
click to vote
JMLR
2010
14 years 10 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...