7228 search results - page 157 / 1446 » From Algorithmic to Subjective Randomness |
188
Voted
GECCO
2011
Springer
14 years 7 months ago
2011
Springer
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
137
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
142
Voted
WWW
2005
ACM
16 years 4 months ago
2005
ACM
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
175
Voted
BMCBI
2007
15 years 3 months ago
2007
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
139
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...