Name
Title | ||
|---|---|---|
Global Strategy of Active Machine Learning for Complex Systems: Embryogenesis Application on Cell Division Detection |
Abstract | ||
|---|---|---|
The intrinsic complexity of biological systems creates huge amounts of unlabeled experimental data. The exploitation of such data can be achieved by performing active machine learning accompanied by a high-level symbolic expert who defines categories and their best boundaries using as little data as possible. We present a global strategy for designing active machine learning methods suited for the observation and analysis of complex systems, such as embryonic development. We developed a procedure that uses all available knowledge, whether gathered manually or automatically, and is able to readjust when new data is provided. We show that it is a powerful method for the investigation of the morphogenetic features of embryogenesis and specifically mitosis detection. It will make possible to properly reconstruct the in vivo cell morphodynamics, a main challenge of the post-genomic era. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/WAINA.2010.80 | Advanced Information Networking and Applications Workshops |
Keywords | Field | DocType |
best boundary,cell division detection,complex system,embryogenesis application,new data,biological system,complex systems,global strategy,embryonic development,active machine,high-level symbolic expert,available knowledge,unlabeled experimental data,machine learning,power method,image reconstruction,phase detection,cancer,computer architecture,cell division,microscopy,embryo,biological systems,learning artificial intelligence,classification algorithms | Complex system,Experimental data,Computer science,Artificial intelligence,Active Machine Learning,Global strategy,Statistical classification,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4244-6701-3 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Faure | 1 | 5 | 1.39 |
| Carla Taramasco | 2 | 39 | 10.55 |
| Jacques Demongeot | 3 | 370 | 68.80 |
| Louise Duloquin | 4 | 13 | 3.29 |
| Benoit Lombardot | 5 | 8 | 2.11 |
| Nadine Peyrieras | 6 | 0 | 0.34 |
| Paul Bourgine | 7 | 180 | 26.10 |