1339 search results - page 112 / 268 » Learning Functions from Imperfect Positive Data |
131
Voted
CIKM
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
123
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
124
Voted
NIPS
2007
15 years 5 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
129
Voted
CDC
2009
IEEE
15 years 1 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
121
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...