3076 search results - page 37 / 616 » Active Learning for Networked Data |
142
Voted
TCS
2011
14 years 9 months ago
2011
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
102
Voted
NIPS
2001
15 years 4 months ago
2001
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
105
Voted
CSFW
2004
IEEE
15 years 6 months ago
2004
IEEE
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
118
Voted
SAINT
2005
IEEE
15 years 8 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
103
Voted
IJON
2010
15 years 1 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...