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ICML
2000
IEEE
16 years 8 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
PERCOM
2008
ACM
16 years 7 months ago
A Survey of Current Directions in Service Placement in Mobile Ad-hoc Networks
Service placement deals with the problem of selecting which node in a network is most suitable for hosting a service that responds to queries from other nodes. Optimally placing s...
Georg Wittenburg, Jochen H. Schiller
ALT
2001
Springer
16 years 4 months ago
Real-Valued Multiple-Instance Learning with Queries
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
184
Voted
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
16 years 2 months ago
Building a Better Similarity Trap with Statistically Improbable Features
One of the persistent topics in digital forensic research in recent years has been the problem of finding all things similar. Developed tools usually take on the form of similarit...
Vassil Roussev
168
Voted
ISBI
2009
IEEE
16 years 2 months ago
Segmentation of Inflamed Synovia in Multi-Modal 3D MRI
We address the difficult problem of segmenting the inflamed synovial tissue in multi-modal 3D MR sequences of the wrist. The complex morphology of the structures to segment, the...
Curzio Basso, Matteo Santoro, Alessandro Verri, Ma...