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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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ACL
1994
13 years 9 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
DATAMINE
2006
97views more  DATAMINE 2006»
13 years 7 months ago
Reinforcing Web-object Categorization Through Interrelationships
Existing categorization algorithms deal with homogeneous Web objects, and consider interrelated objects as additional features when taking the interrelationships with other types o...
Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-J...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 2 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 1 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
VMV
2003
143views Visualization» more  VMV 2003»
13 years 9 months ago
Animating a Camera for Viewing a Planar Polygon
Many applications, ranging from visualization applications such as architectural walkthroughs to robotic applications such as surveillance, could benefit from an automatic camera ...
Daniel Brunstein, Gill Barequet, Craig Gotsman