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» Learning Gaussian processes from multiple tasks
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89
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ICPR
2008
IEEE
15 years 10 months ago
Multitask learning for EEG-based biometrics
Biometrics based on electroencephalogram (EEG) signals is an emerging research topic. Several recent results have shown its feasibility and potential for personal identification....
Shiliang Sun
LREC
2010
199views Education» more  LREC 2010»
15 years 5 months ago
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use o...
Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José...
157
Voted
INTERSPEECH
2010
14 years 10 months ago
Data-dependent evaluator modeling and its application to emotional valence classification from speech
Practical supervised learning scenarios involving subjectively evaluated data have multiple evaluators, each giving their noisy version of the hidden ground truth. Majority logic ...
Kartik Audhkhasi, Shrikanth S. Narayanan
118
Voted
ICAI
2009
15 years 1 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro
RTSS
2009
IEEE
15 years 10 months ago
Coordinated Task Scheduling, Allocation and Synchronization on Multiprocessors
—Chip-multiprocessors represent a dominant new shift in the field of processor design. Better utilization of such technology in the real-time context requires coordinated approa...
Karthik Lakshmanan, Dionisio de Niz, Ragunathan Ra...