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JMLR
2012
13 years 9 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
SCALESPACE
2007
Springer
16 years 21 days ago
Piecewise Constant Level Set Method for 3D Image Segmentation
Level set methods have been proven to be efficient tools for tracing interface problems. Recently, some variants of the Osher- Sethian level set methods, which are called the Piece...
Are Losnegård, Oddvar Christiansen, Xue-Chen...
ICFP
1999
ACM
15 years 11 months ago
Type Inference Builds a Short Cut to Deforestation
Deforestation optimises a functional program by transforming it into another one that does not create certain intermediate data structures. Short cut deforestation is a deforestat...
Olaf Chitil
ESANN
2008
15 years 8 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
ISMB
1996
15 years 8 months ago
A Knowledge-Based Method for Protein Structure Refinement and Prediction
The native conformation of a protein, in a given environment, is determined entirely by the various interatomic interactions dictated by the amino acid sequence (1-3). We describe...
Shankar Subramaniam, David K. Tcheng, James M. Fen...