10054 search results - page 90 / 2011 » On the Complexity of Function Learning |
130
click to vote
ISAAC
1993
Springer
15 years 4 months ago
1993
Springer
A binary decision diagram (BDD) is a directed acyclic graph for representing a Boolean function. BDD’s are widely used in various areas which require Boolean function manipulatio...
159
Voted
MICCAI
2000
Springer
15 years 4 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
134
click to vote
COLT
2000
Springer
15 years 4 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
ISCI
2002
2002
Intelligent learning and control of autonomous robotic agents operating in unstructured environments
15 years 4 days ago
The control of autonomous intelligent robotic agent operating in unstructured changing environments includes many objective difficulties. One major difficulty concerns the charact...
105
Voted
WFLP
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...