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» On Universal Transfer Learning
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EMNLP
2011
12 years 9 months ago
Multi-Source Transfer of Delexicalized Dependency Parsers
We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demons...
Ryan T. McDonald, Slav Petrov, Keith Hall
MCS
2005
Springer
14 years 3 months ago
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
Suju Rajan, Joydeep Ghosh
DIS
2008
Springer
13 years 11 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
FLAIRS
1998
13 years 11 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
FECS
2006
123views Education» more  FECS 2006»
13 years 11 months ago
A Student Research Symposium at Texas Christian University - How it has Benefited the Computer Science Department
-- The Fourth (4th ) Annual Student Research Symposium (SRS) for graduate and undergraduate students majoring in science, engineering, and mathematics will be conducted at Texas Ch...
James R. Comer, Tom Nute, Billy Farmer, Lisa J. Bu...