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AAAI
2011
14 years 5 months 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
ICML
2007
IEEE
16 years 5 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
MOBICOM
2010
ACM
15 years 5 months ago
CSMA/CN: carrier sense multiple access with collision notification
A wireless transmitter learns of a packet loss, infers collision, only after completing the entire transmission. If the transmitter could detect the collision early (such as with ...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...
BMCBI
2010
195views more  BMCBI 2010»
15 years 1 days ago
MBAT: A scalable informatics system for unifying digital atlasing workflows
Background: Digital atlases provide a common semantic and spatial coordinate system that can be leveraged to compare, contrast, and correlate data from disparate sources. As the q...
Daren Lee, Seth Ruffins, Queenie Ng, Nikhil Sane, ...