179 search results - page 31 / 36 » Active learning in very large databases |
HPDC
2010
IEEE
13 years 8 months ago
2010
IEEE
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
ISMIS
1999
Springer
13 years 11 months ago
1999
Springer
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
CAV
2012
Springer
11 years 9 months ago
2012
Springer
elor Thesis: Demand Driven Abstraction Refinement Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, May 2004 • Secured 97.6 % marks in...