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NIPS
2008
15 years 5 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
16 years 5 months ago
Centroidal Voronoi Tessellation Based Algorithms for Vector Fields Visualization and Segmentation
A new method for the simplification and the visualization of vector fields is presented based on the notion of Centroidal Voronoi tessellations (CVT's). A CVT is a special Vo...
Qiang Du, Xiaoqiang Wang
AAAI
2004
15 years 5 months ago
SenseClusters - Finding Clusters that Represent Word Senses
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
Amruta Purandare, Ted Pedersen
DCC
2006
IEEE
16 years 4 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
MCS
2007
Springer
15 years 10 months ago
Group-Induced Vector Spaces
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Du...