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» Learning Gaussian processes from multiple tasks
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UAI
2008
15 years 4 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
BMCBI
2005
96views more  BMCBI 2005»
15 years 3 months ago
Overview of BioCreAtIvE task 1B: normalized gene lists
Background: Our goal in BioCreAtIve has been to assess the state of the art in text mining, with emphasis on applications that reflect real biological applications, e.g., the cura...
Lynette Hirschman, Marc E. Colosimo, Alexander A. ...
MLDM
2009
Springer
15 years 8 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
138
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HIPEAC
2007
Springer
15 years 9 months ago
A Throughput-Driven Task Creation and Mapping for Network Processors
Abstract. Network processors are programmable devices that can process packets at a high speed. A network processor is typified by multithreading and heterogeneous multiprocessing...
Lixia Liu, Xiao-Feng Li, Michael K. Chen, Roy Dz-C...
134
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BMCBI
2010
182views more  BMCBI 2010»
15 years 3 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...