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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 9 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
CBMS
2007
IEEE
16 years 26 days ago
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Stefan Wermter
IJCAI
2007
15 years 8 months ago
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
BMCBI
2011
14 years 10 months ago
FIND: A new software tool and development platform for enhanced multicolor flow analysis
Background: Flow Cytometry is a process by which cells, and other microscopic particles, can be identified, counted, and sorted mechanically through the use of hydrodynamic pressu...
Shareef Dabdoub, William C. Ray, Sheryl S. Justice
NIPS
2007
15 years 8 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
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