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» Approximation Methods for Supervised Learning
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ICML
2008
IEEE
14 years 10 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
IEEECIT
2009
IEEE
14 years 4 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
ATAL
2008
Springer
14 years 13 hour ago
A new perspective to the keepaway soccer: the takers
Keepaway is a sub-problem of RoboCup Soccer Simulator in which 'the keepers' try to maintain the possession of the ball, while 'the takers' try to steal the ba...
Atil Iscen, Umut Erogul
CORR
2006
Springer
178views Education» more  CORR 2006»
13 years 10 months ago
Low-rank matrix factorization with attributes
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
Jacob Abernethy, Francis Bach, Theodoros Evgeniou,...
ICAD
2004
13 years 11 months ago
Auditory Display of Hyperspectral Colon Tissue Images Using Vocal Synthesis Models
The human ability to recognize, identify and compare sounds based on their approximation of particular vowels provides an intuitive, easily learned representation for complex data...
Ryan J. Cassidy, Jonathan Berger, Kyogu Lee