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» Learning Gaussian processes from multiple tasks
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113
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 9 months ago
Genetic programming for cross-task knowledge sharing
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
124
Voted
ICML
2002
IEEE
16 years 4 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
129
Voted
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 3 months ago
How accurate are the time delay estimates in gravitational lensing?
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
Juan C. Cuevas-Tello, Peter Tino, Somak Raychaudhu...
ICIP
2003
IEEE
16 years 5 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh
123
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CSCW
2012
ACM
13 years 11 months ago
Collaboratively crowdsourcing workflows with turkomatic
Preparing complex jobs for crowdsourcing marketplaces requires careful attention to workflow design, the process of decomposing jobs into multiple tasks, which are solved by multi...
Anand Pramod Kulkarni, Matthew Can, Björn Har...