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BMCBI
2010
224views more  BMCBI 2010»
15 years 25 days ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
183
Voted
SIGMOD
2006
ACM
137views Database» more  SIGMOD 2006»
16 years 26 days ago
Optimal multi-scale patterns in time series streams
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
Spiros Papadimitriou, Philip S. Yu
113
Voted
TMC
2010
161views more  TMC 2010»
14 years 11 months ago
High-Rate Uncorrelated Bit Extraction for Shared Secret Key Generation from Channel Measurements
—Secret keys can be generated and shared between two wireless nodes by measuring and encoding radio channel characteristics without ever revealing the secret key to an eavesdropp...
Neal Patwari, Jessica Croft, Suman Jana, Sneha Kum...
117
Voted
AAAI
2011
14 years 21 days ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
97
Voted
ICWL
2007
Springer
15 years 6 months ago
The ELEKTRA Ontology Model: A Learner-Centered Approach to Resource Description
Abstract. There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Cu...
Michael D. Kickmeier-Rust, Dietrich Albert